The co-evolution of test maintenance and code maintenance through the lens of fine-grained semantic changes

Stanislav Levin, Amiram Yehudai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

Abstract

Automatic testing is a widely adopted technique for improving software quality. Software developers add, remove and update test methods and test classes as part of the software development process as well as during the evolution phase, following the initial release. In this work we conduct a large scale study of 61 popular open source projects and report the relationships we have established between test maintenance, production code maintenance, and semantic changes (e.g, statement added, method removed, etc.). performed in developers' commits. We build predictive models, and show that the number of tests in a software project can be well predicted by employing code maintenance profiles (i.e., how many commits were performed in each of the maintenance activities: corrective, perfective, adaptive). Our findings also reveal that more often than not, developers perform code fixes without performing complementary test maintenance in the same commit (e.g., update an existing test or add a new one). When developers do perform test maintenance, it is likely to be affected by the semantic changes they perform as part of their commit. Our work is based on studying 61 popular open source projects, comprised of over 240, 000 commits consisting of over 16, 000, 000 semantic change type instances, performed by over 4, 000 software engineers.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Conference on Software Maintenance and Evolution, ICSME 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages35-46
Number of pages12
ISBN (Electronic)9781538609927
DOIs
StatePublished - 2 Nov 2017
Event2017 IEEE International Conference on Software Maintenance and Evolution, ICSME 2017 - Shanghai, China
Duration: 19 Sep 201722 Sep 2017

Publication series

NameProceedings - 2017 IEEE International Conference on Software Maintenance and Evolution, ICSME 2017

Conference

Conference2017 IEEE International Conference on Software Maintenance and Evolution, ICSME 2017
Country/TerritoryChina
CityShanghai
Period19/09/1722/09/17

Keywords

  • Human factors
  • Mining software repositories
  • Predictive models
  • Software maintenance
  • Software metrics
  • Software testing

Fingerprint

Dive into the research topics of 'The co-evolution of test maintenance and code maintenance through the lens of fine-grained semantic changes'. Together they form a unique fingerprint.

Cite this