A Preliminary Analysis and Case Study of Feature-Based Software Customization (Extended Abstract)

Yufei Jiang, Can Zhang, Dinghao Wu, Peng Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Modern software engineering practice heavily relies on third party libraries, existing frameworks, high level programming languages, and agile development methodologies, which allows us build more complex software and deliver it faster. However, on the other hand, such practice causes some negative consequences such as bloatware and feature creep. A phenomenon of importing and implementing redundant features into software products has been observed in many software evolution and iteration lifecycles. In this paper, we describe an approach to customizing Java bytecode by applying static dataflow analysis and enhanced programming slicing technique. This approach allows developers to customize Java programs based on various users' requirements or remove unnecessary features from tangled code in legacy projects. Our preliminary evaluation and case study results show that our approach has the potential for practical use.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages184-185
Number of pages2
ISBN (Electronic)9781467395984
DOIs
StatePublished - Nov 6 2015
EventIEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2015 - Vancouver, Canada
Duration: Aug 3 2015Aug 5 2015

Publication series

NameProceedings - 2015 IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2015

Other

OtherIEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2015
Country/TerritoryCanada
CityVancouver
Period8/3/158/5/15

All Science Journal Classification (ASJC) codes

  • Software
  • Safety, Risk, Reliability and Quality

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