DocumentCode :
3472906
Title :
Guidelines for Benchmarking Automated Software Traceability Techniques
Author :
Yonghee Shin ; Hayes, Jane Huffman ; Cleland-Huang, Jane
Author_Institution :
Sch. of Comput., DePaul Univ., Chicago, IL, USA
fYear :
2015
fDate :
17-17 May 2015
Firstpage :
61
Lastpage :
67
Abstract :
To comparatively evaluate automated trace ability solutions, we need to develop standardized benchmarks. However there is currently no consensus on how a benchmark should be constructed and used to evaluate competing techniques. In this paper we discuss recurring problems in evaluating trace ability techniques, identify essential properties that evaluation methods should possess, and provide guidelines for benchmarking software trace ability techniques. We illustrate the properties and guidelines using empirical evaluation of three software trace ability techniques on nine data sets.
Keywords :
benchmark testing; program diagnostics; software engineering; automated software traceability technique; benchmarking; evaluation method; Accuracy; Benchmark testing; Communities; Guidelines; Measurement; Software; Software engineering; Traceability; benchmarks; evaluation metrics; measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software and Systems Traceability (SST), 2015 IEEE/ACM 8th International Symposium on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/SST.2015.13
Filename :
7181530
Link To Document :
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