Fifth International Workshop on Experiences and Empirical Studies on Software Reuse (WEESR 2022)

Jaime Chavarriaga, Luisa Rincón, Angela Villota

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

Abstract

In the Workshop on Experiences and Empirical Studies on Software Reuse (WEESR) researchers and practitioners discusses in-progress research regarding experiences and empirical studies applying reuse techniques in non-academic environments. The fifth edition of this workshop, the WEESR 2022, was co-located with the 26th International Systems and Software Product Line Conference (SPLC'22). There, attendees discussed two original papers presenting empirical studies related to reuse in the software industry, one using an interview-based methodology and the other using a survey-based methodology.

Original languageEnglish
Title of host publication26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings
EditorsAlexander Felfernig, Lidia Fuentes, Jane Cleland-Huang, Wesley K.G. Assuncao, Wesley K.G. Assuncao, Andreas Falkner, Maider Azanza, Miguel A. Rodriguez Luaces, Megha Bhushan, Laura Semini, Xavier Devroey, Claudia Maria Lima Werner, Christoph Seidl, Viet-Man Le, Jose Miguel Horcas
PublisherAssociation for Computing Machinery, Inc
Pages265
Number of pages1
ISBN (Electronic)9781450394437
DOIs
StatePublished - 12 Sep 2022
Event26th ACM International Systems and Software Product Line Conference, ASPLC 2022 - Graz, Austria
Duration: 12 Sep 202216 Sep 2022

Publication series

Name26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings
VolumeA

Conference

Conference26th ACM International Systems and Software Product Line Conference, ASPLC 2022
Country/TerritoryAustria
CityGraz
Period12/09/2216/09/22

Keywords

  • empirical software engineering
  • software reuse

Fingerprint

Dive into the research topics of 'Fifth International Workshop on Experiences and Empirical Studies on Software Reuse (WEESR 2022)'. Together they form a unique fingerprint.

Cite this