Using alloy to support feature-based DSL construction for mining software repositories

Changyun Huang, Yasutaka Kamei, Kazuhiro Yamashita, Naoyasu Ubayashi

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

5 Citations (Scopus)

Abstract

The Mining Software Repositories (MSR) field reveals knowledge for software development by analyzing data stored in repositories such as source control and bug trace systems. In order to reveal the knowledge, MSR researchers need to perform complicated procedures iteratively. To help the complex work of MSR practitioners, we study the construction of domain specific languages (DSLs) for MSR. We have conducted feature-oriented domain analysis (FODA) on MSR and developed a DSL based on the feature model. In this paper, we expand our previous work and propose to construct not a single DSL but a DSL family. A DSL family consists of a series of DSLs with commonality in their domain but suitable to specific applications of MSR. To readily construct these DSLs, we use Alloy to encode the feature model. Our encoding includes not only the DSL features and their relations but also some composition rules that can be used to generate the syntax of DSLs. Based on this, we can automatically derive the language elements to construct DSLs suitable to specific purposes of MSR.

Original languageEnglish
Title of host publicationProceedings of the 17th International Software Product Line Conference Co-located Workshops, SPLC 2013
Pages86-89
Number of pages4
DOIs
Publication statusPublished - Dec 23 2013
Event17th International Software Product Line Conference Co-located Workshops, SPLC 2013 - Tokyo, Japan
Duration: Aug 26 2013Aug 30 2013

Publication series

NameACM International Conference Proceeding Series

Other

Other17th International Software Product Line Conference Co-located Workshops, SPLC 2013
CountryJapan
CityTokyo
Period8/26/138/30/13

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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