Update processed data

data/processed/RQ1/EmailResponder-MCP/evaluate_success.py

@@ -115,7 +115,7 @@ def save_detailed_results(results, output_file="success-finish_detailed_results.
     print(f"\n[OK] Detailed results saved to: {output_path}")
 
 
-def save_csv_summary(results, output_file="success_rate.csv"):
+def save_csv_summary(results, output_file="success-finish_rate.csv"):
     """Save summary to CSV file."""
     import csv
 

data/processed/RQ1/EmailResponder/evaluate_success.py

@@ -114,7 +114,7 @@ def save_detailed_results(results, output_file="success-finish_detailed_results.
     print(f"\n✅ Detailed results saved to: {output_path}")
 
 
-def save_csv_summary(results, output_file="success_rate.csv"):
+def save_csv_summary(results, output_file="success-finish_rate.csv"):
     """Save summary to CSV file"""
     import csv
 

data/processed/RQ1/GameBuilder-MCP/evaluate_success.py

@@ -115,7 +115,7 @@ def save_detailed_results(results, output_file="success-finish_detailed_results.
     print(f"\n✅ Detailed results saved to: {output_path}")
 
 
-def save_csv_summary(results, output_file="success_rate.csv"):
+def save_csv_summary(results, output_file="success-finish_rate.csv"):
     """Save a summary to a CSV file."""
     import csv
 

data/processed/RQ1/GameBuilder/evaluate_success.py

@@ -115,7 +115,7 @@ def save_detailed_results(results, output_file="success-finish_detailed_results.
     print(f"\n✅ Detailed results saved to: {output_path}")
 
 
-def save_csv_summary(results, output_file="success_rate.csv"):
+def save_csv_summary(results, output_file="success-finish_rate.csv"):
     """Save summary to CSV file"""
     import csv
 

data/processed/RQ1/MarkdownValidator-MCP/evaluate_success.py

@@ -115,7 +115,7 @@ def save_detailed_results(results, output_file="success-finish_detailed_results.
     print(f"\nDetailed results saved to: {output_path}")
 
 
-def save_csv_summary(results, output_file="success_rate.csv"):
+def save_csv_summary(results, output_file="success-finish_rate.csv"):
     """Save summary to CSV file"""
     import csv
 

data/processed/RQ1/MarkdownValidator/evaluate_success.py

@@ -115,7 +115,7 @@ def save_detailed_results(results, output_file="success-finish_detailed_results.
     print(f"\nDetailed results saved: {output_path}")
 
 
-def save_csv_summary(results, output_file="success_rate.csv"):
+def save_csv_summary(results, output_file="success-finish_rate.csv"):
     """Save summary to CSV file"""
     import csv
 

data/processed/RQ1/RadarCharts/All_Open_vs_Closed_summaries.md

@@ -2,62 +2,62 @@
 
 | Group | Model Count | exact_match | any_order_match | precision | recall | retry_rate | pass_rate |
 | --- | --- | --- | --- | --- | --- | --- | --- |
-| open | 3 | 0.27 | 0.47 | 0.86 | 0.93 | 0.16 | 0.99 |
-| closed | 4 | 0.16 | 0.27 | 0.92 | 0.82 | 0.11 | 1.00 |
+| open | 3 | 0.21 | 0.44 | 0.84 | 0.93 | 0.18 | 0.65 |
+| closed | 4 | 0.13 | 0.24 | 0.91 | 0.81 | 0.12 | 0.56 |
 
 # BookWriter Open vs Closed Models
 
-| Group | Model Count | exact_match | any_order_match | precision | recall | retry_rate | pass_rate |
-| --- | --- | --- | --- | --- | --- | --- | --- |
-| open | 3 | 0.01 | 0.20 | 0.91 | 0.86 | 0.04 | 1.00 |
-| closed | 4 | 0.00 | 0.00 | 0.94 | 0.66 | 0.00 | 1.00 |
+| Series | Group | Model Count | exact_match | any_order_match | precision | recall | retry_rate | pass_rate |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| BookWriter | open | 3 | 0.01 | 0.20 | 0.91 | 0.86 | 0.04 | 1.00 |
+| BookWriter | closed | 4 | 0.00 | 0.00 | 0.94 | 0.66 | 0.00 | 1.00 |
 
 # EmailResponder Open vs Closed Models
 
-| Group | Model Count | exact_match | any_order_match | precision | recall | retry_rate | pass_rate |
-| --- | --- | --- | --- | --- | --- | --- | --- |
-| open | 3 | 0.07 | 0.11 | 0.92 | 0.87 | 0.06 | 1.00 |
-| closed | 4 | 0.12 | 0.14 | 0.98 | 0.82 | 0.05 | 1.00 |
+| Series | Group | Model Count | exact_match | any_order_match | precision | recall | retry_rate | pass_rate |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| EmailResponder | open | 3 | 0.07 | 0.11 | 0.92 | 0.87 | 0.06 | 0.00 |
+| EmailResponder | closed | 4 | 0.12 | 0.14 | 0.98 | 0.82 | 0.05 | 0.00 |
 
 # GameBuilder Open vs Closed Models
 
-| Group | Model Count | exact_match | any_order_match | precision | recall | retry_rate | pass_rate |
-| --- | --- | --- | --- | --- | --- | --- | --- |
-| open | 3 | 0.89 | 0.97 | 0.98 | 0.99 | 0.00 | 0.99 |
-| closed | 4 | 0.47 | 0.52 | 0.99 | 0.89 | 0.01 | 1.00 |
+| Series | Group | Model Count | exact_match | any_order_match | precision | recall | retry_rate | pass_rate |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| GameBuilder | open | 3 | 0.89 | 0.97 | 0.98 | 0.99 | 0.00 | 0.00 |
+| GameBuilder | closed | 4 | 0.47 | 0.52 | 0.99 | 0.89 | 0.01 | 0.00 |
 
 # LandingPageGenerator Open vs Closed Models
 
-| Group | Model Count | exact_match | any_order_match | precision | recall | retry_rate | average_score |
-| --- | --- | --- | --- | --- | --- | --- | --- |
-| open | 3 | 0.11 | 0.53 | 0.83 | 0.97 | 0.04 | 0.54 |
-| closed | 4 | 0.08 | 0.35 | 0.89 | 0.87 | 0.01 | 0.29 |
+| Series | Group | Model Count | exact_match | any_order_match | precision | recall | retry_rate | average_score |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| LandingPageGenerator | open | 3 | 0.11 | 0.53 | 0.83 | 0.97 | 0.04 | 0.54 |
+| LandingPageGenerator | closed | 4 | 0.08 | 0.35 | 0.89 | 0.87 | 0.01 | 0.29 |
 
 # MarkdownValidator Open vs Closed Models
 
-| Group | Model Count | exact_match | any_order_match | precision | recall | retry_rate | average_score |
-| --- | --- | --- | --- | --- | --- | --- | --- |
-| open | 3 | 0.99 | 0.99 | 1.00 | 1.00 | 0.00 | 0.82 |
-| closed | 4 | 0.59 | 0.61 | 0.96 | 0.90 | 0.07 | 0.44 |
+| Series | Group | Model Count | exact_match | any_order_match | precision | recall | retry_rate | average_score |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| MarkdownValidator | open | 3 | 0.99 | 0.99 | 1.00 | 1.00 | 0.00 | 0.82 |
+| MarkdownValidator | closed | 4 | 0.59 | 0.61 | 0.96 | 0.90 | 0.07 | 0.44 |
 
 # RecruitmentAssistant Open vs Closed Models
 
-| Group | Model Count | exact_match | any_order_match | precision | recall | retry_rate | pass_rate |
-| --- | --- | --- | --- | --- | --- | --- | --- |
-| open | 3 | 0.01 | 0.31 | 0.81 | 0.94 | 0.10 | 0.99 |
-| closed | 4 | 0.00 | 0.17 | 0.92 | 0.83 | 0.00 | 1.00 |
+| Series | Group | Model Count | exact_match | any_order_match | precision | recall | retry_rate | pass_rate |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| RecruitmentAssistant | open | 3 | 0.01 | 0.31 | 0.81 | 0.94 | 0.10 | 0.99 |
+| RecruitmentAssistant | closed | 4 | 0.00 | 0.17 | 0.92 | 0.83 | 0.00 | 1.00 |
 
 # SQLAssistant Open vs Closed Models
 
-| Group | Model Count | exact_match | any_order_match | precision | recall | retry_rate | average_score |
-| --- | --- | --- | --- | --- | --- | --- | --- |
-| open | 3 | 0.00 | 0.15 | 0.66 | 0.91 | 0.59 | 0.47 |
-| closed | 4 | 0.00 | 0.06 | 0.79 | 0.83 | 0.46 | 0.38 |
+| Series | Group | Model Count | exact_match | any_order_match | precision | recall | retry_rate | average_score |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| SQLAssistant | open | 3 | 0.00 | 0.15 | 0.66 | 0.91 | 0.59 | 0.47 |
+| SQLAssistant | closed | 4 | 0.00 | 0.06 | 0.79 | 0.83 | 0.46 | 0.38 |
 
 # SocialMediaManager Open vs Closed Models
 
-| Group | Model Count | exact_match | any_order_match | precision | recall | retry_rate | pass_rate |
-| --- | --- | --- | --- | --- | --- | --- | --- |
-| open | 3 | 0.06 | 0.50 | 0.75 | 0.92 | 0.45 | 0.98 |
-| closed | 4 | 0.03 | 0.27 | 0.87 | 0.72 | 0.29 | 0.99 |
+| Series | Group | Model Count | exact_match | any_order_match | precision | recall | retry_rate | pass_rate |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| SocialMediaManager | open | 3 | 0.06 | 0.50 | 0.75 | 0.92 | 0.45 | 0.98 |
+| SocialMediaManager | closed | 4 | 0.03 | 0.27 | 0.87 | 0.72 | 0.29 | 0.99 |
 

data/processed/RQ1/RadarCharts/All_Series_Average_tables.md

@@ -1,125 +1,107 @@
-# Overall Summary (All Projects - Weighted Average)
+# Overall Summary (All Projects)
 
-_Note: average_score is only computed for GT projects (MarkdownValidator, SQLAssistant, LandingPageGenerator). pass_rate is only computed for non-GT projects._
-
-| model | exact_match | any_order_match | precision | recall | retry_rate | average_score | pass_rate |
-| --- | --- | --- | --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 0.13 | 0.21 | 0.77 | 0.90 | 0.26 | 0.45 | 0.98 |
-| DeepSeek-V3-1 | 0.22 | 0.59 | 0.86 | 0.96 | 0.13 | 0.67 | 1.00 |
-| GPT-4o-mini | 0.22 | 0.58 | 0.84 | 0.95 | 0.12 | 0.65 | 0.99 |
-| GPT-5 | 0.18 | 0.25 | 0.93 | 0.89 | 0.11 | 0.52 | 1.00 |
-| Gemini-2.5-flash | 0.03 | 0.03 | 0.93 | 0.69 | 0.14 | 0.13 | 1.00 |
-| Gemini-2.5-flash-nothinking | 0.02 | 0.02 | 0.94 | 0.70 | 0.12 | 0.14 | 1.00 |
-| Qwen3-235b | 0.16 | 0.36 | 0.88 | 0.91 | 0.16 | 0.64 | 0.99 |
+| model | exact_match | any_order_match | precision | recall | retry_rate | pass_rate |
+| --- | --- | --- | --- | --- | --- | --- |
+| GPT-5 | 0.24 | 0.31 | 0.93 | 0.90 | 0.11 | 0.63 |
+| GPT-4o-mini | 0.24 | 0.61 | 0.83 | 0.95 | 0.12 | 0.67 |
+| DeepSeek-V3-1 | 0.26 | 0.64 | 0.86 | 0.96 | 0.13 | 0.68 |
+| DeepSeek-R1 | 0.18 | 0.26 | 0.79 | 0.90 | 0.25 | 0.59 |
+| Gemini-2.5-flash | 0.03 | 0.03 | 0.93 | 0.69 | 0.14 | 0.48 |
+| Gemini-2.5-flash-nothinking | 0.02 | 0.02 | 0.94 | 0.70 | 0.12 | 0.48 |
+| Qwen3-235b | 0.20 | 0.41 | 0.88 | 0.92 | 0.16 | 0.67 |
 
 # BookWriter Series Average
 
-_This is a non-GT project series. Using pass_rate from success_rate.csv._
-
 | model | exact_match | any_order_match | precision | recall | retry_rate | pass_rate |
 | --- | --- | --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 0.00 | 0.01 | 0.88 | 0.81 | 0.09 | 1.00 |
-| DeepSeek-V3-1 | 0.04 | 0.58 | 0.89 | 0.98 | 0.01 | 1.00 |
-| GPT-4o-mini | 0.00 | 0.00 | 0.85 | 0.83 | 0.00 | 1.00 |
 | GPT-5 | 0.00 | 0.00 | 0.97 | 0.77 | 0.00 | 1.00 |
+| GPT-4o-mini | 0.00 | 0.00 | 0.85 | 0.83 | 0.00 | 1.00 |
+| DeepSeek-V3-1 | 0.04 | 0.58 | 0.89 | 0.98 | 0.01 | 1.00 |
+| DeepSeek-R1 | 0.00 | 0.01 | 0.88 | 0.81 | 0.09 | 1.00 |
 | Gemini-2.5-flash | 0.00 | 0.00 | 0.98 | 0.52 | 0.00 | 1.00 |
 | Gemini-2.5-flash-nothinking | 0.00 | 0.00 | 0.98 | 0.53 | 0.01 | 1.00 |
 | Qwen3-235b | 0.00 | 0.00 | 0.95 | 0.79 | 0.01 | 1.00 |
 
 # EmailResponder Series Average
 
-_This is a non-GT project series. Using pass_rate from success_rate.csv._
-
 | model | exact_match | any_order_match | precision | recall | retry_rate | pass_rate |
 | --- | --- | --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 0.00 | 0.03 | 0.77 | 0.89 | 0.16 | 0.99 |
-| DeepSeek-V3-1 | 0.16 | 0.24 | 0.98 | 0.88 | 0.02 | 1.00 |
-| GPT-4o-mini | 0.43 | 0.47 | 0.99 | 0.91 | 0.00 | 1.00 |
-| GPT-5 | 0.01 | 0.01 | 1.00 | 0.83 | 0.00 | 1.00 |
-| Gemini-2.5-flash | 0.01 | 0.01 | 0.97 | 0.74 | 0.10 | 0.99 |
-| Gemini-2.5-flash-nothinking | 0.04 | 0.06 | 0.96 | 0.81 | 0.12 | 1.00 |
-| Qwen3-235b | 0.06 | 0.07 | 1.00 | 0.85 | 0.00 | 1.00 |
+| GPT-5 | 0.01 | 0.01 | 1.00 | 0.83 | 0.00 | 0.00 |
+| GPT-4o-mini | 0.43 | 0.47 | 0.99 | 0.91 | 0.00 | 0.00 |
+| DeepSeek-V3-1 | 0.16 | 0.24 | 0.98 | 0.88 | 0.02 | 0.00 |
+| DeepSeek-R1 | 0.00 | 0.03 | 0.77 | 0.89 | 0.16 | 0.00 |
+| Gemini-2.5-flash | 0.01 | 0.01 | 0.97 | 0.74 | 0.10 | 0.00 |
+| Gemini-2.5-flash-nothinking | 0.05 | 0.06 | 0.96 | 0.81 | 0.12 | 0.00 |
+| Qwen3-235b | 0.06 | 0.07 | 1.00 | 0.85 | 0.00 | 0.00 |
 
 # GameBuilder Series Average
 
-_This is a non-GT project series. Using pass_rate from success_rate.csv._
-
 | model | exact_match | any_order_match | precision | recall | retry_rate | pass_rate |
 | --- | --- | --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 0.94 | 0.96 | 1.00 | 0.99 | 0.00 | 1.00 |
-| DeepSeek-V3-1 | 0.90 | 1.00 | 0.97 | 1.00 | 0.00 | 0.98 |
-| GPT-4o-mini | 0.88 | 1.00 | 0.96 | 1.00 | 0.00 | 1.00 |
-| GPT-5 | 1.00 | 1.00 | 1.00 | 1.00 | 0.00 | 1.00 |
-| Gemini-2.5-flash | 0.00 | 0.00 | 1.00 | 0.75 | 0.00 | 1.00 |
-| Gemini-2.5-flash-nothinking | 0.02 | 0.06 | 0.99 | 0.80 | 0.04 | 1.00 |
-| Qwen3-235b | 0.84 | 0.94 | 0.99 | 0.99 | 0.00 | 1.00 |
+| GPT-5 | 1.00 | 1.00 | 1.00 | 1.00 | 0.00 | 0.00 |
+| GPT-4o-mini | 0.88 | 1.00 | 0.96 | 1.00 | 0.00 | 0.00 |
+| DeepSeek-V3-1 | 0.90 | 1.00 | 0.97 | 1.00 | 0.00 | 0.00 |
+| DeepSeek-R1 | 0.94 | 0.96 | 1.00 | 0.99 | 0.00 | 0.00 |
+| Gemini-2.5-flash | 0.00 | 0.00 | 1.00 | 0.75 | 0.00 | 0.00 |
+| Gemini-2.5-flash-nothinking | 0.02 | 0.06 | 0.99 | 0.80 | 0.04 | 0.00 |
+| Qwen3-235b | 0.84 | 0.94 | 0.99 | 0.99 | 0.00 | 0.00 |
 
 # LandingPageGenerator Series Average
 
-_This is a GT project series. Using average_score from score_summary.csv._
-
 | model | exact_match | any_order_match | precision | recall | retry_rate | average_score |
 | --- | --- | --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 0.00 | 0.13 | 0.78 | 0.94 | 0.06 | 0.25 |
-| DeepSeek-V3-1 | 0.24 | 0.99 | 0.86 | 1.00 | 0.01 | 0.86 |
-| GPT-4o-mini | 0.04 | 0.98 | 0.78 | 1.00 | 0.00 | 0.67 |
 | GPT-5 | 0.29 | 0.42 | 0.86 | 0.97 | 0.00 | 0.47 |
+| GPT-4o-mini | 0.04 | 0.98 | 0.78 | 1.00 | 0.00 | 0.67 |
+| DeepSeek-V3-1 | 0.24 | 0.99 | 0.86 | 1.00 | 0.01 | 0.86 |
+| DeepSeek-R1 | 0.00 | 0.13 | 0.78 | 0.94 | 0.06 | 0.25 |
 | Gemini-2.5-flash | 0.00 | 0.00 | 0.97 | 0.76 | 0.00 | 0.00 |
 | Gemini-2.5-flash-nothinking | 0.00 | 0.00 | 0.95 | 0.77 | 0.03 | 0.01 |
 | Qwen3-235b | 0.09 | 0.45 | 0.84 | 0.97 | 0.03 | 0.52 |
 
 # MarkdownValidator Series Average
 
-_This is a GT project series. Using average_score from score_summary.csv._
-
 | model | exact_match | any_order_match | precision | recall | retry_rate | average_score |
 | --- | --- | --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 0.98 | 1.00 | 1.00 | 1.00 | 0.00 | 0.81 |
-| DeepSeek-V3-1 | 1.00 | 1.00 | 1.00 | 1.00 | 0.00 | 0.84 |
-| GPT-4o-mini | 0.97 | 1.00 | 0.99 | 1.00 | 0.00 | 0.82 |
 | GPT-5 | 1.00 | 1.00 | 1.00 | 1.00 | 0.00 | 0.71 |
+| GPT-4o-mini | 0.97 | 1.00 | 0.99 | 1.00 | 0.00 | 0.82 |
+| DeepSeek-V3-1 | 1.00 | 1.00 | 1.00 | 1.00 | 0.00 | 0.84 |
+| DeepSeek-R1 | 0.98 | 1.00 | 1.00 | 1.00 | 0.00 | 0.81 |
 | Gemini-2.5-flash | 0.26 | 0.33 | 0.87 | 0.88 | 0.21 | 0.08 |
 | Gemini-2.5-flash-nothinking | 0.13 | 0.13 | 0.96 | 0.73 | 0.06 | 0.14 |
 | Qwen3-235b | 0.98 | 0.98 | 1.00 | 0.99 | 0.00 | 0.81 |
 
 # RecruitmentAssistant Series Average
 
-_This is a non-GT project series. Using pass_rate from success_rate.csv._
-
 | model | exact_match | any_order_match | precision | recall | retry_rate | pass_rate |
 | --- | --- | --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 0.00 | 0.11 | 0.84 | 0.90 | 0.05 | 0.99 |
-| DeepSeek-V3-1 | 0.00 | 0.36 | 0.84 | 0.97 | 0.00 | 1.00 |
-| GPT-4o-mini | 0.00 | 0.70 | 0.76 | 0.98 | 0.00 | 1.00 |
 | GPT-5 | 0.00 | 0.00 | 0.98 | 0.90 | 0.00 | 1.00 |
+| GPT-4o-mini | 0.00 | 0.70 | 0.76 | 0.98 | 0.00 | 1.00 |
+| DeepSeek-V3-1 | 0.00 | 0.36 | 0.84 | 0.97 | 0.00 | 1.00 |
+| DeepSeek-R1 | 0.00 | 0.11 | 0.84 | 0.90 | 0.05 | 0.99 |
 | Gemini-2.5-flash | 0.00 | 0.00 | 0.98 | 0.69 | 0.00 | 1.00 |
 | Gemini-2.5-flash-nothinking | 0.00 | 0.00 | 0.97 | 0.74 | 0.00 | 1.00 |
 | Qwen3-235b | 0.02 | 0.46 | 0.75 | 0.96 | 0.26 | 0.98 |
 
 # SQLAssistant Series Average
 
-_This is a GT project series. Using average_score from score_summary.csv._
-
 | model | exact_match | any_order_match | precision | recall | retry_rate | average_score |
 | --- | --- | --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 0.00 | 0.04 | 0.52 | 0.88 | 0.80 | 0.40 |
-| DeepSeek-V3-1 | 0.00 | 0.17 | 0.66 | 0.90 | 0.61 | 0.37 |
-| GPT-4o-mini | 0.00 | 0.22 | 0.77 | 0.94 | 0.37 | 0.52 |
 | GPT-5 | 0.00 | 0.01 | 0.82 | 0.86 | 0.44 | 0.45 |
+| GPT-4o-mini | 0.00 | 0.22 | 0.77 | 0.94 | 0.37 | 0.52 |
+| DeepSeek-V3-1 | 0.00 | 0.17 | 0.66 | 0.90 | 0.61 | 0.37 |
+| DeepSeek-R1 | 0.00 | 0.04 | 0.52 | 0.88 | 0.80 | 0.40 |
 | Gemini-2.5-flash | 0.00 | 0.00 | 0.76 | 0.77 | 0.57 | 0.29 |
 | Gemini-2.5-flash-nothinking | 0.00 | 0.00 | 0.82 | 0.76 | 0.48 | 0.27 |
 | Qwen3-235b | 0.00 | 0.24 | 0.80 | 0.95 | 0.37 | 0.64 |
 
 # SocialMediaManager Series Average
 
-_This is a non-GT project series. Using pass_rate from success_rate.csv._
-
 | model | exact_match | any_order_match | precision | recall | retry_rate | pass_rate |
 | --- | --- | --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 0.01 | 0.22 | 0.64 | 0.88 | 0.62 | 0.94 |
-| DeepSeek-V3-1 | 0.17 | 0.87 | 0.78 | 0.97 | 0.27 | 1.00 |
-| GPT-4o-mini | 0.12 | 0.71 | 0.72 | 0.97 | 0.47 | 0.96 |
 | GPT-5 | 0.02 | 0.37 | 0.86 | 0.88 | 0.34 | 0.98 |
+| GPT-4o-mini | 0.12 | 0.71 | 0.72 | 0.97 | 0.47 | 0.96 |
+| DeepSeek-V3-1 | 0.17 | 0.87 | 0.78 | 0.97 | 0.27 | 1.00 |
+| DeepSeek-R1 | 0.01 | 0.22 | 0.64 | 0.88 | 0.62 | 0.94 |
 | Gemini-2.5-flash | 0.00 | 0.00 | 0.94 | 0.52 | 0.21 | 1.00 |
 | Gemini-2.5-flash-nothinking | 0.00 | 0.00 | 0.96 | 0.51 | 0.15 | 1.00 |
 | Qwen3-235b | 0.02 | 0.42 | 0.82 | 0.89 | 0.46 | 0.98 |

data/processed/RQ1/RadarCharts/BookWriter-A2A_radar.pdf

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data/processed/RQ1/RadarCharts/BookWriter-H_A2A_radar.pdf

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data/processed/RQ1/RadarCharts/BookWriter-MCP_radar.pdf

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data/processed/RQ1/RadarCharts/BookWriter_Series_Average_radar.pdf

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data/processed/RQ1/RadarCharts/Comparison_A2A_vs_A2A_mix.md

@@ -0,0 +1,48 @@
+# Overall A2A vs A2A_mix Comparison
+
+Averaged across all projects: 
+
+## Framework-Level Comparison (All Models Averaged)
+
+| Metric | A2A | A2A_mix | Diff (A2A-A2A_mix) |
+| --- | --- | --- | --- |
+
+---
+
+## exact_match
+
+| Model | A2A (Avg) | A2A_mix (Avg) | Diff (A2A-A2A_mix) |
+| --- | --- | --- | --- |
+
+## any_order_match
+
+| Model | A2A (Avg) | A2A_mix (Avg) | Diff (A2A-A2A_mix) |
+| --- | --- | --- | --- |
+
+## precision
+
+| Model | A2A (Avg) | A2A_mix (Avg) | Diff (A2A-A2A_mix) |
+| --- | --- | --- | --- |
+
+## recall
+
+| Model | A2A (Avg) | A2A_mix (Avg) | Diff (A2A-A2A_mix) |
+| --- | --- | --- | --- |
+
+## retry_rate
+
+| Model | A2A (Avg) | A2A_mix (Avg) | Diff (A2A-A2A_mix) |
+| --- | --- | --- | --- |
+
+## average_score
+
+| Model | A2A (Avg) | A2A_mix (Avg) | Diff (A2A-A2A_mix) |
+| --- | --- | --- | --- |
+
+## pass_rate
+
+| Model | A2A (Avg) | A2A_mix (Avg) | Diff (A2A-A2A_mix) |
+| --- | --- | --- | --- |
+
+---
+

data/processed/RQ1/RadarCharts/Comparison_A2A_vs_H_A2A.md

@@ -1,539 +0,0 @@
-# Overall A2A vs H_A2A Comparison
-
-Averaged across all projects: BookWriter, LandingPageGenerator, RecruitmentAssistant, SQLAssistant, SocialMediaManager
-
-## Framework-Level Comparison (All Models Averaged)
-
-| Metric | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| exact_match | 0.01 | 0.01 | -0.01 |
-| any_order_match | 0.25 | 0.19 | +0.05 |
-| precision | 0.82 | 0.85 | -0.03 |
-| recall | 0.84 | 0.87 | -0.03 |
-| retry_rate | 0.22 | 0.14 | +0.08 |
-| average_score | 0.31 | 0.45 | -0.14 |
-| pass_rate | 0.99 | 1.00 | -0.01 |
-
----
-
-## exact_match
-
-| Model | A2A (Avg) | H_A2A (Avg) | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.00 | 0.00 | -0.00 |
-| DeepSeek-V3-1 | 0.03 | 0.04 | -0.01 |
-| GPT-4o-mini | 0.01 | 0.05 | -0.05 |
-| GPT-5 | 0.01 | 0.00 | +0.01 |
-| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 0.00 | 0.00 | +0.00 |
-| Qwen3-235b | 0.01 | 0.01 | +0.00 |
-
-## any_order_match
-
-| Model | A2A (Avg) | H_A2A (Avg) | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.05 | 0.12 | -0.07 |
-| DeepSeek-V3-1 | 0.48 | 0.68 | -0.20 |
-| GPT-4o-mini | 0.60 | 0.43 | +0.16 |
-| GPT-5 | 0.17 | 0.03 | +0.14 |
-| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 0.00 | 0.00 | +0.00 |
-| Qwen3-235b | 0.43 | 0.10 | +0.33 |
-
-## precision
-
-| Model | A2A (Avg) | H_A2A (Avg) | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.70 | 0.79 | -0.09 |
-| DeepSeek-V3-1 | 0.74 | 0.84 | -0.11 |
-| GPT-4o-mini | 0.79 | 0.81 | -0.03 |
-| GPT-5 | 0.89 | 0.91 | -0.02 |
-| Gemini-2.5-flash | 0.91 | 0.89 | +0.02 |
-| Gemini-2.5-flash-nothinking | 0.93 | 0.90 | +0.03 |
-| Qwen3-235b | 0.81 | 0.83 | -0.02 |
-
-## recall
-
-| Model | A2A (Avg) | H_A2A (Avg) | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.88 | 0.89 | -0.00 |
-| DeepSeek-V3-1 | 0.95 | 0.96 | -0.01 |
-| GPT-4o-mini | 0.96 | 0.92 | +0.04 |
-| GPT-5 | 0.90 | 0.85 | +0.04 |
-| Gemini-2.5-flash | 0.62 | 0.78 | -0.16 |
-| Gemini-2.5-flash-nothinking | 0.64 | 0.78 | -0.14 |
-| Qwen3-235b | 0.93 | 0.91 | +0.02 |
-
-## retry_rate
-
-| Model | A2A (Avg) | H_A2A (Avg) | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.37 | 0.26 | +0.11 |
-| DeepSeek-V3-1 | 0.25 | 0.10 | +0.15 |
-| GPT-4o-mini | 0.15 | 0.09 | +0.07 |
-| GPT-5 | 0.18 | 0.06 | +0.11 |
-| Gemini-2.5-flash | 0.19 | 0.18 | +0.01 |
-| Gemini-2.5-flash-nothinking | 0.18 | 0.12 | +0.06 |
-| Qwen3-235b | 0.25 | 0.20 | +0.05 |
-
-## average_score
-
-| Model | A2A (Avg) | H_A2A (Avg) | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.16 | 0.31 | -0.15 |
-| DeepSeek-V3-1 | 0.49 | 0.70 | -0.21 |
-| GPT-4o-mini | 0.57 | 0.58 | -0.01 |
-| GPT-5 | 0.33 | 0.42 | -0.09 |
-| Gemini-2.5-flash | 0.08 | 0.27 | -0.20 |
-| Gemini-2.5-flash-nothinking | 0.03 | 0.29 | -0.26 |
-| Qwen3-235b | 0.49 | 0.55 | -0.06 |
-
-## pass_rate
-
-| Model | A2A (Avg) | H_A2A (Avg) | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.97 | 0.99 | -0.02 |
-| DeepSeek-V3-1 | 1.00 | 1.00 | +0.00 |
-| GPT-4o-mini | 0.98 | 1.00 | -0.02 |
-| GPT-5 | 0.99 | 1.00 | -0.01 |
-| Gemini-2.5-flash | 1.00 | 1.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 1.00 | 1.00 | +0.00 |
-| Qwen3-235b | 0.99 | 0.99 | -0.01 |
-
----
-
-# BookWriter: A2A vs H_A2A
-
-## Overall Summary (Averaged Across All Models)
-
-| Metric | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| exact_match | 0.00 | 0.00 | +0.00 |
-| any_order_match | 0.08 | 0.08 | -0.00 |
-| precision | 0.93 | 0.91 | +0.02 |
-| recall | 0.77 | 0.73 | +0.03 |
-| retry_rate | 0.02 | 0.00 | +0.02 |
-| pass_rate | 1.00 | 1.00 | +0.00 |
-
----
-
-## exact_match
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.00 | 0.00 | +0.00 |
-| DeepSeek-V3-1 | 0.00 | 0.00 | +0.00 |
-| GPT-4o-mini | 0.00 | 0.00 | +0.00 |
-| GPT-5 | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 0.00 | 0.00 | +0.00 |
-| Qwen3-235b | 0.00 | 0.00 | +0.00 |
-
-## any_order_match
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.02 | 0.00 | +0.02 |
-| DeepSeek-V3-1 | 0.53 | 0.58 | -0.05 |
-| GPT-4o-mini | 0.00 | 0.00 | +0.00 |
-| GPT-5 | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 0.00 | 0.00 | +0.00 |
-| Qwen3-235b | 0.00 | 0.00 | +0.00 |
-
-## precision
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.87 | 0.91 | -0.03 |
-| DeepSeek-V3-1 | 0.79 | 0.92 | -0.13 |
-| GPT-4o-mini | 0.90 | 0.80 | +0.10 |
-| GPT-5 | 0.98 | 0.95 | +0.03 |
-| Gemini-2.5-flash | 1.00 | 0.93 | +0.07 |
-| Gemini-2.5-flash-nothinking | 1.00 | 0.93 | +0.07 |
-| Qwen3-235b | 0.96 | 0.93 | +0.03 |
-
-## recall
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.84 | 0.77 | +0.07 |
-| DeepSeek-V3-1 | 0.99 | 0.95 | +0.04 |
-| GPT-4o-mini | 0.86 | 0.77 | +0.09 |
-| GPT-5 | 0.82 | 0.67 | +0.15 |
-| Gemini-2.5-flash | 0.53 | 0.57 | -0.05 |
-| Gemini-2.5-flash-nothinking | 0.53 | 0.57 | -0.04 |
-| Qwen3-235b | 0.80 | 0.83 | -0.04 |
-
-## retry_rate
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.13 | 0.02 | +0.12 |
-| DeepSeek-V3-1 | 0.02 | 0.00 | +0.02 |
-| GPT-4o-mini | 0.00 | 0.00 | +0.00 |
-| GPT-5 | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 0.00 | 0.00 | +0.00 |
-| Qwen3-235b | 0.00 | 0.00 | +0.00 |
-
-## pass_rate
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 1.00 | 1.00 | +0.00 |
-| DeepSeek-V3-1 | 1.00 | 1.00 | +0.00 |
-| GPT-4o-mini | 1.00 | 1.00 | +0.00 |
-| GPT-5 | 1.00 | 1.00 | +0.00 |
-| Gemini-2.5-flash | 1.00 | 1.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 1.00 | 1.00 | +0.00 |
-| Qwen3-235b | 1.00 | 1.00 | +0.00 |
-
-# LandingPageGenerator: A2A vs H_A2A
-
-## Overall Summary (Averaged Across All Models)
-
-| Metric | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| exact_match | 0.00 | 0.00 | +0.00 |
-| any_order_match | 0.40 | 0.29 | +0.11 |
-| precision | 0.84 | 0.82 | +0.03 |
-| recall | 0.91 | 0.93 | -0.02 |
-| retry_rate | 0.02 | 0.01 | +0.01 |
-| average_score | 0.30 | 0.33 | -0.03 |
-
----
-
-## exact_match
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.00 | 0.00 | +0.00 |
-| DeepSeek-V3-1 | 0.00 | 0.00 | +0.00 |
-| GPT-4o-mini | 0.00 | 0.00 | +0.00 |
-| GPT-5 | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 0.00 | 0.00 | +0.00 |
-| Qwen3-235b | 0.00 | 0.00 | +0.00 |
-
-## any_order_match
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.05 | 0.03 | +0.02 |
-| DeepSeek-V3-1 | 1.00 | 0.98 | +0.02 |
-| GPT-4o-mini | 0.97 | 1.00 | -0.03 |
-| GPT-5 | 0.27 | 0.00 | +0.27 |
-| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 0.00 | 0.00 | +0.00 |
-| Qwen3-235b | 0.48 | 0.00 | +0.48 |
-
-## precision
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.76 | 0.78 | -0.03 |
-| DeepSeek-V3-1 | 0.83 | 0.77 | +0.06 |
-| GPT-4o-mini | 0.74 | 0.78 | -0.03 |
-| GPT-5 | 0.81 | 0.79 | +0.02 |
-| Gemini-2.5-flash | 1.00 | 0.91 | +0.09 |
-| Gemini-2.5-flash-nothinking | 0.98 | 0.87 | +0.12 |
-| Qwen3-235b | 0.79 | 0.81 | -0.02 |
-
-## recall
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.94 | 0.93 | +0.01 |
-| DeepSeek-V3-1 | 1.00 | 1.00 | +0.00 |
-| GPT-4o-mini | 1.00 | 1.00 | -0.00 |
-| GPT-5 | 0.97 | 0.94 | +0.03 |
-| Gemini-2.5-flash | 0.74 | 0.87 | -0.13 |
-| Gemini-2.5-flash-nothinking | 0.76 | 0.85 | -0.08 |
-| Qwen3-235b | 0.98 | 0.94 | +0.04 |
-
-## retry_rate
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.03 | 0.00 | +0.03 |
-| DeepSeek-V3-1 | 0.00 | 0.03 | -0.03 |
-| GPT-4o-mini | 0.00 | 0.00 | +0.00 |
-| GPT-5 | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 0.05 | 0.00 | +0.05 |
-| Qwen3-235b | 0.05 | 0.05 | +0.00 |
-
-## average_score
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.08 | 0.10 | -0.02 |
-| DeepSeek-V3-1 | 0.86 | 0.88 | -0.02 |
-| GPT-4o-mini | 0.57 | 0.59 | -0.02 |
-| GPT-5 | 0.19 | 0.32 | -0.12 |
-| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 0.00 | 0.00 | +0.00 |
-| Qwen3-235b | 0.38 | 0.41 | -0.03 |
-
-# RecruitmentAssistant: A2A vs H_A2A
-
-## Overall Summary (Averaged Across All Models)
-
-| Metric | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| exact_match | 0.00 | 0.00 | +0.00 |
-| any_order_match | 0.18 | 0.31 | -0.13 |
-| precision | 0.89 | 0.87 | +0.02 |
-| recall | 0.86 | 0.95 | -0.09 |
-| retry_rate | 0.05 | 0.03 | +0.01 |
-| pass_rate | 1.00 | 1.00 | -0.00 |
-
----
-
-## exact_match
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.00 | 0.00 | +0.00 |
-| DeepSeek-V3-1 | 0.00 | 0.00 | +0.00 |
-| GPT-4o-mini | 0.00 | 0.00 | +0.00 |
-| GPT-5 | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 0.00 | 0.00 | +0.00 |
-| Qwen3-235b | 0.02 | 0.00 | +0.02 |
-
-## any_order_match
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.00 | 0.25 | -0.25 |
-| DeepSeek-V3-1 | 0.00 | 1.00 | -1.00 |
-| GPT-4o-mini | 0.68 | 0.72 | -0.03 |
-| GPT-5 | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 0.00 | 0.00 | +0.00 |
-| Qwen3-235b | 0.57 | 0.22 | +0.35 |
-
-## precision
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.83 | 0.89 | -0.06 |
-| DeepSeek-V3-1 | 0.87 | 0.82 | +0.05 |
-| GPT-4o-mini | 0.79 | 0.75 | +0.05 |
-| GPT-5 | 0.99 | 0.97 | +0.02 |
-| Gemini-2.5-flash | 1.00 | 0.94 | +0.06 |
-| Gemini-2.5-flash-nothinking | 1.00 | 0.93 | +0.06 |
-| Qwen3-235b | 0.74 | 0.76 | -0.02 |
-
-## recall
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.88 | 0.93 | -0.06 |
-| DeepSeek-V3-1 | 0.96 | 1.00 | -0.04 |
-| GPT-4o-mini | 0.98 | 0.99 | -0.00 |
-| GPT-5 | 0.90 | 0.91 | -0.01 |
-| Gemini-2.5-flash | 0.64 | 0.89 | -0.25 |
-| Gemini-2.5-flash-nothinking | 0.68 | 0.94 | -0.26 |
-| Qwen3-235b | 0.97 | 0.96 | +0.01 |
-
-## retry_rate
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.07 | 0.05 | +0.02 |
-| DeepSeek-V3-1 | 0.00 | 0.00 | +0.00 |
-| GPT-4o-mini | 0.00 | 0.00 | +0.00 |
-| GPT-5 | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 0.00 | 0.00 | +0.00 |
-| Qwen3-235b | 0.27 | 0.18 | +0.08 |
-
-## pass_rate
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.98 | 1.00 | -0.02 |
-| DeepSeek-V3-1 | 1.00 | 1.00 | +0.00 |
-| GPT-4o-mini | 1.00 | 1.00 | +0.00 |
-| GPT-5 | 1.00 | 1.00 | +0.00 |
-| Gemini-2.5-flash | 1.00 | 1.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 1.00 | 1.00 | +0.00 |
-| Qwen3-235b | 0.98 | 1.00 | -0.02 |
-
-# SQLAssistant: A2A vs H_A2A
-
-## Overall Summary (Averaged Across All Models)
-
-| Metric | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| exact_match | 0.00 | 0.00 | +0.00 |
-| any_order_match | 0.15 | 0.00 | +0.15 |
-| precision | 0.65 | 0.83 | -0.18 |
-| recall | 0.87 | 0.87 | -0.01 |
-| retry_rate | 0.65 | 0.38 | +0.27 |
-| average_score | 0.32 | 0.57 | -0.25 |
-
----
-
-## exact_match
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.00 | 0.00 | +0.00 |
-| DeepSeek-V3-1 | 0.00 | 0.00 | +0.00 |
-| GPT-4o-mini | 0.00 | 0.00 | +0.00 |
-| GPT-5 | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 0.00 | 0.00 | +0.00 |
-| Qwen3-235b | 0.00 | 0.00 | +0.00 |
-
-## any_order_match
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.03 | 0.00 | +0.03 |
-| DeepSeek-V3-1 | 0.00 | 0.00 | +0.00 |
-| GPT-4o-mini | 0.53 | 0.00 | +0.53 |
-| GPT-5 | 0.03 | 0.00 | +0.03 |
-| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 0.00 | 0.00 | +0.00 |
-| Qwen3-235b | 0.48 | 0.00 | +0.48 |
-
-## precision
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.41 | 0.64 | -0.23 |
-| DeepSeek-V3-1 | 0.41 | 0.89 | -0.48 |
-| GPT-4o-mini | 0.84 | 0.86 | -0.02 |
-| GPT-5 | 0.84 | 0.91 | -0.07 |
-| Gemini-2.5-flash | 0.57 | 0.81 | -0.23 |
-| Gemini-2.5-flash-nothinking | 0.70 | 0.84 | -0.14 |
-| Qwen3-235b | 0.78 | 0.85 | -0.07 |
-
-## recall
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.85 | 0.89 | -0.03 |
-| DeepSeek-V3-1 | 0.84 | 0.90 | -0.05 |
-| GPT-4o-mini | 0.98 | 0.92 | +0.07 |
-| GPT-5 | 0.88 | 0.86 | +0.02 |
-| Gemini-2.5-flash | 0.77 | 0.83 | -0.05 |
-| Gemini-2.5-flash-nothinking | 0.78 | 0.80 | -0.02 |
-| Qwen3-235b | 0.96 | 0.93 | +0.02 |
-
-## retry_rate
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.95 | 0.67 | +0.28 |
-| DeepSeek-V3-1 | 1.00 | 0.27 | +0.73 |
-| GPT-4o-mini | 0.17 | 0.28 | -0.12 |
-| GPT-5 | 0.40 | 0.23 | +0.17 |
-| Gemini-2.5-flash | 0.90 | 0.50 | +0.40 |
-| Gemini-2.5-flash-nothinking | 0.75 | 0.37 | +0.38 |
-| Qwen3-235b | 0.38 | 0.33 | +0.05 |
-
-## average_score
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.25 | 0.52 | -0.27 |
-| DeepSeek-V3-1 | 0.12 | 0.53 | -0.41 |
-| GPT-4o-mini | 0.58 | 0.58 | +0.00 |
-| GPT-5 | 0.47 | 0.53 | -0.06 |
-| Gemini-2.5-flash | 0.16 | 0.55 | -0.39 |
-| Gemini-2.5-flash-nothinking | 0.05 | 0.57 | -0.52 |
-| Qwen3-235b | 0.60 | 0.68 | -0.08 |
-
-# SocialMediaManager: A2A vs H_A2A
-
-## Overall Summary (Averaged Across All Models)
-
-| Metric | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| exact_match | 0.04 | 0.07 | -0.04 |
-| any_order_match | 0.42 | 0.29 | +0.13 |
-| precision | 0.80 | 0.85 | -0.05 |
-| recall | 0.79 | 0.87 | -0.08 |
-| retry_rate | 0.39 | 0.29 | +0.09 |
-| pass_rate | 0.97 | 0.99 | -0.02 |
-
----
-
-## exact_match
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.00 | 0.02 | -0.02 |
-| DeepSeek-V3-1 | 0.15 | 0.20 | -0.05 |
-| GPT-4o-mini | 0.03 | 0.27 | -0.23 |
-| GPT-5 | 0.05 | 0.00 | +0.05 |
-| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 0.00 | 0.00 | +0.00 |
-| Qwen3-235b | 0.03 | 0.03 | +0.00 |
-
-## any_order_match
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.13 | 0.32 | -0.18 |
-| DeepSeek-V3-1 | 0.85 | 0.83 | +0.02 |
-| GPT-4o-mini | 0.80 | 0.45 | +0.35 |
-| GPT-5 | 0.53 | 0.15 | +0.38 |
-| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 0.00 | 0.00 | +0.00 |
-| Qwen3-235b | 0.62 | 0.27 | +0.35 |
-
-## precision
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.60 | 0.70 | -0.10 |
-| DeepSeek-V3-1 | 0.79 | 0.83 | -0.04 |
-| GPT-4o-mini | 0.66 | 0.90 | -0.24 |
-| GPT-5 | 0.83 | 0.92 | -0.09 |
-| Gemini-2.5-flash | 0.98 | 0.87 | +0.11 |
-| Gemini-2.5-flash-nothinking | 0.97 | 0.93 | +0.04 |
-| Qwen3-235b | 0.80 | 0.82 | -0.02 |
-
-## recall
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.89 | 0.90 | -0.01 |
-| DeepSeek-V3-1 | 0.98 | 0.96 | +0.01 |
-| GPT-4o-mini | 0.99 | 0.95 | +0.03 |
-| GPT-5 | 0.90 | 0.87 | +0.02 |
-| Gemini-2.5-flash | 0.44 | 0.77 | -0.33 |
-| Gemini-2.5-flash-nothinking | 0.43 | 0.76 | -0.32 |
-| Qwen3-235b | 0.93 | 0.88 | +0.05 |
-
-## retry_rate
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.65 | 0.55 | +0.10 |
-| DeepSeek-V3-1 | 0.23 | 0.18 | +0.05 |
-| GPT-4o-mini | 0.60 | 0.15 | +0.45 |
-| GPT-5 | 0.48 | 0.08 | +0.40 |
-| Gemini-2.5-flash | 0.07 | 0.42 | -0.35 |
-| Gemini-2.5-flash-nothinking | 0.12 | 0.25 | -0.13 |
-| Qwen3-235b | 0.55 | 0.42 | +0.13 |
-
-## pass_rate
-
-| Model | A2A | H_A2A | Diff (A2A-H_A2A) |
-| --- | --- | --- | --- |
-| DeepSeek-R1 | 0.92 | 0.97 | -0.05 |
-| DeepSeek-V3-1 | 1.00 | 1.00 | +0.00 |
-| GPT-4o-mini | 0.93 | 1.00 | -0.07 |
-| GPT-5 | 0.97 | 1.00 | -0.03 |
-| Gemini-2.5-flash | 1.00 | 1.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 1.00 | 1.00 | +0.00 |
-| Qwen3-235b | 0.98 | 0.98 | +0.00 |
-

data/processed/RQ1/RadarCharts/Comparison_MCP_vs_Hardcoded.md

@@ -12,7 +12,7 @@ Averaged across all projects: EmailResponder, GameBuilder, MarkdownValidator
 | recall | 0.91 | 0.91 | +0.00 |
 | retry_rate | 0.03 | 0.04 | -0.02 |
 | average_score | 0.60 | 0.60 | +0.00 |
-| pass_rate | 1.00 | 0.99 | +0.01 |
+| pass_rate | 0.00 | 0.00 | +0.00 |
 
 ---
 
@@ -92,13 +92,13 @@ Averaged across all projects: EmailResponder, GameBuilder, MarkdownValidator
 
 | Model | MCP (Avg) | Hardcoded (Avg) | Diff (MCP-Hardcoded) |
 | --- | --- | --- | --- |
-| DeepSeek-R1 | 1.00 | 0.99 | +0.01 |
-| DeepSeek-V3-1 | 1.00 | 0.98 | +0.02 |
-| GPT-4o-mini | 1.00 | 1.00 | +0.00 |
-| GPT-5 | 1.00 | 1.00 | +0.00 |
-| Gemini-2.5-flash | 1.00 | 0.99 | +0.01 |
-| Gemini-2.5-flash-nothinking | 1.00 | 1.00 | +0.00 |
-| Qwen3-235b | 1.00 | 1.00 | +0.00 |
+| DeepSeek-R1 | 0.00 | 0.00 | +0.00 |
+| DeepSeek-V3-1 | 0.00 | 0.00 | +0.00 |
+| GPT-4o-mini | 0.00 | 0.00 | +0.00 |
+| GPT-5 | 0.00 | 0.00 | +0.00 |
+| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
+| Gemini-2.5-flash-nothinking | 0.00 | 0.00 | +0.00 |
+| Qwen3-235b | 0.00 | 0.00 | +0.00 |
 
 ---
 
@@ -113,7 +113,7 @@ Averaged across all projects: EmailResponder, GameBuilder, MarkdownValidator
 | precision | 0.96 | 0.95 | +0.01 |
 | recall | 0.85 | 0.84 | +0.01 |
 | retry_rate | 0.04 | 0.07 | -0.04 |
-| pass_rate | 1.00 | 1.00 | +0.00 |
+| pass_rate | 0.00 | 0.00 | +0.00 |
 
 ---
 
@@ -181,13 +181,13 @@ Averaged across all projects: EmailResponder, GameBuilder, MarkdownValidator
 
 | Model | MCP | Hardcoded | Diff (MCP-Hardcoded) |
 | --- | --- | --- | --- |
-| DeepSeek-R1 | 1.00 | 0.98 | +0.02 |
-| DeepSeek-V3-1 | 1.00 | 1.00 | +0.00 |
-| GPT-4o-mini | 1.00 | 1.00 | +0.00 |
-| GPT-5 | 1.00 | 1.00 | +0.00 |
-| Gemini-2.5-flash | 1.00 | 0.99 | +0.01 |
-| Gemini-2.5-flash-nothinking | 1.00 | 1.00 | +0.00 |
-| Qwen3-235b | 1.00 | 1.00 | +0.00 |
+| DeepSeek-R1 | 0.00 | 0.00 | +0.00 |
+| DeepSeek-V3-1 | 0.00 | 0.00 | +0.00 |
+| GPT-4o-mini | 0.00 | 0.00 | +0.00 |
+| GPT-5 | 0.00 | 0.00 | +0.00 |
+| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
+| Gemini-2.5-flash-nothinking | 0.00 | 0.00 | +0.00 |
+| Qwen3-235b | 0.00 | 0.00 | +0.00 |
 
 # GameBuilder: MCP vs Hardcoded
 
@@ -200,7 +200,7 @@ Averaged across all projects: EmailResponder, GameBuilder, MarkdownValidator
 | precision | 0.98 | 0.99 | -0.01 |
 | recall | 0.94 | 0.93 | +0.00 |
 | retry_rate | 0.00 | 0.01 | -0.01 |
-| pass_rate | 1.00 | 0.99 | +0.01 |
+| pass_rate | 0.00 | 0.00 | +0.00 |
 
 ---
 
@@ -268,13 +268,13 @@ Averaged across all projects: EmailResponder, GameBuilder, MarkdownValidator
 
 | Model | MCP | Hardcoded | Diff (MCP-Hardcoded) |
 | --- | --- | --- | --- |
-| DeepSeek-R1 | 1.00 | 1.00 | +0.00 |
-| DeepSeek-V3-1 | 1.00 | 0.96 | +0.04 |
-| GPT-4o-mini | 1.00 | 1.00 | +0.00 |
-| GPT-5 | 1.00 | 1.00 | +0.00 |
-| Gemini-2.5-flash | 1.00 | 1.00 | +0.00 |
-| Gemini-2.5-flash-nothinking | 1.00 | 1.00 | +0.00 |
-| Qwen3-235b | 1.00 | 1.00 | +0.00 |
+| DeepSeek-R1 | 0.00 | 0.00 | +0.00 |
+| DeepSeek-V3-1 | 0.00 | 0.00 | +0.00 |
+| GPT-4o-mini | 0.00 | 0.00 | +0.00 |
+| GPT-5 | 0.00 | 0.00 | +0.00 |
+| Gemini-2.5-flash | 0.00 | 0.00 | +0.00 |
+| Gemini-2.5-flash-nothinking | 0.00 | 0.00 | +0.00 |
+| Qwen3-235b | 0.00 | 0.00 | +0.00 |
 
 # MarkdownValidator: MCP vs Hardcoded
 

data/processed/RQ1/RadarCharts/Comparison_Powerful_vs_Lightweight.md

@@ -2,8 +2,6 @@
 
 ## Overall Summary (Averaged Across All Project Series)
 
-_Note: average_score is averaged only across GT projects; pass_rate is averaged only across non-GT projects._
-
 | Metric | GPT-5 | GPT-4o-mini | Diff (A-B) |
 | --- | --- | --- | --- |
 | exact_match | 0.29 | 0.31 | -0.02 |
@@ -12,7 +10,7 @@ _Note: average_score is averaged only across GT projects; pass_rate is averaged
 | recall | 0.90 | 0.95 | -0.05 |
 | retry_rate | 0.10 | 0.10 | -0.01 |
 | average_score | 0.55 | 0.67 | -0.13 |
-| pass_rate | 1.00 | 0.99 | +0.00 |
+| pass_rate | 0.60 | 0.59 | +0.00 |
 
 ---
 
@@ -21,7 +19,7 @@ _Note: average_score is averaged only across GT projects; pass_rate is averaged
 | Project Series | GPT-5 | GPT-4o-mini | Diff (A-B) |
 | --- | --- | --- | --- |
 | BookWriter | 0.00 | 0.00 | +0.00 |
-| EmailResponder | 0.01 | 0.43 | -0.42 |
+| EmailResponder | 0.01 | 0.43 | -0.43 |
 | GameBuilder | 1.00 | 0.88 | +0.12 |
 | LandingPageGenerator | 0.29 | 0.04 | +0.26 |
 | MarkdownValidator | 1.00 | 0.97 | +0.03 |
@@ -94,8 +92,8 @@ _Note: average_score is averaged only across GT projects; pass_rate is averaged
 | Project Series | GPT-5 | GPT-4o-mini | Diff (A-B) |
 | --- | --- | --- | --- |
 | BookWriter | 1.00 | 1.00 | +0.00 |
-| EmailResponder | 1.00 | 1.00 | +0.00 |
-| GameBuilder | 1.00 | 1.00 | +0.00 |
+| EmailResponder | 0.00 | 0.00 | +0.00 |
+| GameBuilder | 0.00 | 0.00 | +0.00 |
 | RecruitmentAssistant | 1.00 | 1.00 | +0.00 |
 | SocialMediaManager | 0.98 | 0.96 | +0.02 |
 

data/processed/RQ1/RadarCharts/Comparison_Reasoning_vs_NonReasoning.md

@@ -2,8 +2,6 @@
 
 ## Overall Summary (Averaged Across All Project Series)
 
-_Note: average_score is averaged only across GT projects; pass_rate is averaged only across non-GT projects._
-
 | Metric | DeepSeek-R1 | DeepSeek-V3-1 | Diff (A-B) |
 | --- | --- | --- | --- |
 | exact_match | 0.24 | 0.31 | -0.07 |
@@ -12,7 +10,7 @@ _Note: average_score is averaged only across GT projects; pass_rate is averaged
 | recall | 0.91 | 0.96 | -0.05 |
 | retry_rate | 0.22 | 0.11 | +0.11 |
 | average_score | 0.49 | 0.69 | -0.20 |
-| pass_rate | 0.99 | 1.00 | -0.01 |
+| pass_rate | 0.59 | 0.60 | -0.01 |
 
 ---
 
@@ -94,8 +92,8 @@ _Note: average_score is averaged only across GT projects; pass_rate is averaged
 | Project Series | DeepSeek-R1 | DeepSeek-V3-1 | Diff (A-B) |
 | --- | --- | --- | --- |
 | BookWriter | 1.00 | 1.00 | +0.00 |
-| EmailResponder | 0.99 | 1.00 | -0.01 |
-| GameBuilder | 1.00 | 0.98 | +0.02 |
+| EmailResponder | 0.00 | 0.00 | +0.00 |
+| GameBuilder | 0.00 | 0.00 | +0.00 |
 | RecruitmentAssistant | 0.99 | 1.00 | -0.01 |
 | SocialMediaManager | 0.94 | 1.00 | -0.06 |
 
@@ -106,8 +104,6 @@ _Note: average_score is averaged only across GT projects; pass_rate is averaged
 
 ## Overall Summary (Averaged Across All Project Series)
 
-_Note: average_score is averaged only across GT projects; pass_rate is averaged only across non-GT projects._
-
 | Metric | Gemini-2.5-flash | Gemini-2.5-flash-nothinking | Diff (A-B) |
 | --- | --- | --- | --- |
 | exact_match | 0.03 | 0.02 | +0.01 |
@@ -116,7 +112,7 @@ _Note: average_score is averaged only across GT projects; pass_rate is averaged
 | recall | 0.70 | 0.71 | -0.00 |
 | retry_rate | 0.14 | 0.11 | +0.03 |
 | average_score | 0.13 | 0.14 | -0.01 |
-| pass_rate | 1.00 | 1.00 | -0.00 |
+| pass_rate | 0.60 | 0.60 | +0.00 |
 
 ---
 
@@ -125,7 +121,7 @@ _Note: average_score is averaged only across GT projects; pass_rate is averaged
 | Project Series | Gemini-2.5-flash | Gemini-2.5-flash-nothinking | Diff (A-B) |
 | --- | --- | --- | --- |
 | BookWriter | 0.00 | 0.00 | +0.00 |
-| EmailResponder | 0.01 | 0.04 | -0.04 |
+| EmailResponder | 0.01 | 0.05 | -0.04 |
 | GameBuilder | 0.00 | 0.02 | -0.02 |
 | LandingPageGenerator | 0.00 | 0.00 | +0.00 |
 | MarkdownValidator | 0.26 | 0.13 | +0.12 |
@@ -198,8 +194,8 @@ _Note: average_score is averaged only across GT projects; pass_rate is averaged
 | Project Series | Gemini-2.5-flash | Gemini-2.5-flash-nothinking | Diff (A-B) |
 | --- | --- | --- | --- |
 | BookWriter | 1.00 | 1.00 | +0.00 |
-| EmailResponder | 0.99 | 1.00 | -0.01 |
-| GameBuilder | 1.00 | 1.00 | +0.00 |
+| EmailResponder | 0.00 | 0.00 | +0.00 |
+| GameBuilder | 0.00 | 0.00 | +0.00 |
 | RecruitmentAssistant | 1.00 | 1.00 | +0.00 |
 | SocialMediaManager | 1.00 | 1.00 | +0.00 |
 

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