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