Building software process line architectures from bottom up

研究成果: Conference contribution

33 引用 (Scopus)

抜粋

In this paper, we propose a technique for establishing process lines, which are sets of common processes in particular problem domains, and process line architectures that incorporate commonality and variability. Process line architectures are used as a basis for deriving process lines from the perspective of overall optimization. The proposed technique includes some extensions to the Software Process Engineering Metamodel for clearly expressing the commonality and variability in the process workflows described as UML activity diagrams. As a result of applying the proposed technique to hardware/software co-design processes in an embedded system domain, It is found that the proposed technique is useful for defining consistent and project-specific processes efficiently.

元の言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ415-421
ページ数7
4034 LNCS
出版物ステータスPublished - 2006
外部発表Yes
イベント7th International Conference on Product-Focused Software Process Improvement, PROFES 2006 - Amsterdam
継続期間: 2006 6 122006 6 14

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4034 LNCS
ISSN(印刷物)03029743
ISSN(電子版)16113349

Other

Other7th International Conference on Product-Focused Software Process Improvement, PROFES 2006
Amsterdam
期間06/6/1206/6/14

    フィンガープリント

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

これを引用

Washizaki, H. (2006). Building software process line architectures from bottom up. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (巻 4034 LNCS, pp. 415-421). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 4034 LNCS).