Third international workshop on knowledge-oriented product line engineering (KOPLE 2012)

Haitham S. Hamza, Jabier Martinez, Anil Kumar Thurimella, Jitender S. Deogun

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

Abstract

Software Product Line Engineering (PLE) exploits systematic reuse by identifying and methodically reusing software artifacts to develop different but related software systems. Developing Product Lines requires analysis skills to identify, model, and encode domain and product knowledge into artifacts that can be systematically reused across the development life-cycle. As such, Knowledge plays a paramount role in the success of the various activities of PLE. The objective of the KOPLE workshop series is to bring together SPL researchers and practitioners from academia and industry to investigate the role of Knowledge in PLE. Knowledge is usually encapsulated in PL architectures in a tacit or implicit way, and this may appear to be sufficient for industry to implement successful product lines. Nevertheless, KOPLE also aims to become a discussion forum about techniques and methods to convert from tacit to explicit Knowledge in PLE and to process and use this Knowledge for optimizing and innovating PLE processes.

Original languageEnglish (US)
Title of host publicationProceedings - 16th International Software Product Line Conference, SPLC 2012
Pages292-293
Number of pages2
DOIs
StatePublished - 2012
Event16th International Software Product Line Conference, SPLC 2012 - Salvador, Brazil
Duration: Sep 2 2012Sep 7 2012

Publication series

NameACM International Conference Proceeding Series
Volume1

Conference

Conference16th International Software Product Line Conference, SPLC 2012
Country/TerritoryBrazil
CitySalvador
Period9/2/129/7/12

Keywords

  • Conceptual graphs
  • Knowledge engineering
  • Ontology
  • Product lines
  • Software reuse
  • Tacit knowledge

ASJC Scopus subject areas

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

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