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Make the Most of Your Time: How Should the Analyst Work with Automated Traceability Tools

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Tim Menzies
Tim Menzies

Alexander Dekhytar, Jane Hayes, and Jody Larson

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Make the Most of Your Time: How Should the Analyst Work with Automated Traceability Tools?* Alex Dekhtyar Jane Huffman Hayes Jody Larsen *Funded by NASA
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is Requirements Traceability? ,[object Object],[object Object]
Why is Traceability Important? ,[object Object],[object Object],[object Object],[object Object]
Design Document Information Retrieval and Traceability Representation Requirements Document Matching algorithm Analyst
What’s Different about Traceability? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
IR Based Traceability Frameworks ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
RETRO.NET ,[object Object],[object Object],[object Object],[object Object]
Research Questions ,[object Object],[object Object]
Experimental Design ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Measures N - number of low-level requirements; M - number of high-level requirements; Hits - number of confirmed candidate links Strikes - number of false positives Misses - number of missed links Precision = Hits Hits + Strikes Recall = Hits Hits +Misses Selectivity = Hits + Strikes M * N
Global Ordering Without Feedback ,[object Object],[object Object],[object Object]
Local Ordering Without Feedback ,[object Object],[object Object],[object Object]
Global Ordering With Feedback ,[object Object],[object Object],[object Object],[object Object]
Local Ordering With Feedback ,[object Object],[object Object],[object Object],[object Object]
Dataset ,[object Object],[object Object],[object Object],[object Object],[object Object],36,556 Total # of retrieved candidate links 70.7% Selectivity 358 Total # of correct links retrieved by basic Vector Space 99% Recall 0.1% Precision # of elements in requirements (high-level) 235 # of elements in design specification (low-level) 220 # of correct links 361
Experimental Design Detail ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Random? ,[object Object],[object Object]
Random Methods ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Experiment Operation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Experiment Validity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Study 1 Results, Fixed Recall Observed Links Precision Selectivity Local, Feedback 1595 20% 3% Local, No Feedback 1713 19% 3% Global, Feedback 5399 6% 10% Global, No Feedback 6149 5% 12%
Study 2 Results, Fixed Effort Confirmed Links Precision Recall Local, Feedback 321 20% 89% Local, No Feedback 326 20% 87.5% Global, Feedback 236 15% 65% Global, No Feedback 227 14% 63% Local, Random 65 4% 18% Global, Random 58 3.6% 16%
Study 2 Intermediate Results
Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Future Work ,[object Object],[object Object],[object Object]
Questions?

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Make the Most of Your Time: How Should the Analyst Work with Automated Traceability Tools

  • 1. Make the Most of Your Time: How Should the Analyst Work with Automated Traceability Tools?* Alex Dekhtyar Jane Huffman Hayes Jody Larsen *Funded by NASA
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  • 5. Design Document Information Retrieval and Traceability Representation Requirements Document Matching algorithm Analyst
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  • 11. Measures N - number of low-level requirements; M - number of high-level requirements; Hits - number of confirmed candidate links Strikes - number of false positives Misses - number of missed links Precision = Hits Hits + Strikes Recall = Hits Hits +Misses Selectivity = Hits + Strikes M * N
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  • 22. Study 1 Results, Fixed Recall Observed Links Precision Selectivity Local, Feedback 1595 20% 3% Local, No Feedback 1713 19% 3% Global, Feedback 5399 6% 10% Global, No Feedback 6149 5% 12%
  • 23. Study 2 Results, Fixed Effort Confirmed Links Precision Recall Local, Feedback 321 20% 89% Local, No Feedback 326 20% 87.5% Global, Feedback 236 15% 65% Global, No Feedback 227 14% 63% Local, Random 65 4% 18% Global, Random 58 3.6% 16%
  • 25.
  • 26.