Mining motivated trends of usage of Haskell libraries

Marc Juchli, Lars Krombeen, Shashank Rao, Anand Ashok Sawant, Alberto Bacchelli

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

We propose an initial approach to minethe usage trends of libraries in Haskell, a popular functional programming language. We integrate it with a novel, initial method to automatically determine the reasons of clients for switching to different versions. Based onthese, we conduct a preliminary investigation of trends of usage in Haskelllibraries. Results suggest that trends are similar to those in the Javaecosystem and in line with Rogers' theory on the diffusion of innovation. Our results also provide indication on Haskell libraries being allby and large stable.
Original languageEnglish
Title of host publicationProceedings - 2017 IEEE/ACM 1st International Workshop on API Usage and Evolution, WAPI 2017
EditorsR. Bilof
Place of PublicationLos Alamitos, CA
PublisherIEEE
Pages11-14
Number of pages4
ISBN (Electronic)978-1-5386-2805-8
DOIs
Publication statusPublished - 30 Jun 2017
EventWAPI 2017 : 1st International Workshop on API Usage and Evolution - Buenos Aires, Argentina
Duration: 23 May 201723 May 2017
Conference number: 1
https://w-api.github.io/2017/

Conference

ConferenceWAPI 2017
Abbreviated titleWAPI'17
CountryArgentina
CityBuenos Aires
Period23/05/1723/05/17
Internet address

Keywords

  • api usage
  • mining software repositories
  • version popularity

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    Juchli, M., Krombeen, L., Rao, S., Sawant, A. A., & Bacchelli, A. (2017). Mining motivated trends of usage of Haskell libraries. In R. Bilof (Ed.), Proceedings - 2017 IEEE/ACM 1st International Workshop on API Usage and Evolution, WAPI 2017 (pp. 11-14). IEEE. https://doi.org/10.1109/WAPI.2017.6