Empirical evaluation of the effects of experience on code quality and programmer productivity: an exploratory study: Journal-first selected article

Oscar Dieste, Alejandrina Aranda, Fernando Uyaguari, Burak Turhan, Ayse Tosun, Davide Fucci, Markku Oivo, Natalia Juristo

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

Abstract

This extended abstract summarizes an article, which has been published in the Empirical Software Engineering Journal and was selected for the Journal-First presentations at the International Conference on Software and System Process (ICSSP 2018).

Original languageEnglish
Title of host publicationICSSP 2018 - May 26-27 – Gothenburg, Sweden
Subtitle of host publicationProceedings of the 2018 International Conference on Software and System Process
EditorsMarco Kuhrmann, Rory V. O’Connor, Dan Houston, Regina Hebig
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages111-112
Number of pages2
ISBN (Electronic)9781450364591
DOIs
Publication statusPublished - 2018
Externally publishedYes
EventInternational Conference on Software and System Process 2018 - Gothenburg, Sweden
Duration: 26 May 201827 May 2018
https://dl.acm.org/citation.cfm?id=3202710&picked=prox (Proceedings)

Conference

ConferenceInternational Conference on Software and System Process 2018
Abbreviated titleICSSP 2018
CountrySweden
CityGothenburg
Period26/05/1827/05/18
Internet address

Keywords

  • Academy
  • Experience
  • External quality
  • Industry
  • Iterative test-last development
  • Productivity performance
  • Programming

Cite this

Dieste, O., Aranda, A., Uyaguari, F., Turhan, B., Tosun, A., Fucci, D., Oivo, M., & Juristo, N. (2018). Empirical evaluation of the effects of experience on code quality and programmer productivity: an exploratory study: Journal-first selected article. In M. Kuhrmann, R. V. O’Connor, D. Houston, & R. Hebig (Eds.), ICSSP 2018 - May 26-27 – Gothenburg, Sweden: Proceedings of the 2018 International Conference on Software and System Process (pp. 111-112). Association for Computing Machinery (ACM). https://doi.org/10.1145/3202710.3203163