Type

Journal Article

Authors

Claus Pahl
Pooyan Jamshidi
Aakash Ahmad

Subjects

Computer Science

Topics
software engineering post mortem analysis software architecture evolution software architecture knowledge acquisition evolution patterns architecture evolution knowledge architecture centric software evolution software evolution

A Framework for Acquisition and Application of Software Architecture Evolution Knowledge (2013)

Abstract Software systems continuously evolve as a consequence of frequent changes in their functional requirements and the environment surrounding them. Architecture-centric software evolution (ACSE) enables changes in software structure and behaviour while abstracting the complex implementation-specific details. However, due to recurring evolution there is a need for solutions that enable a systematic reuse of frequent changes in software architectures. In recent years, architecture change patterns and evolution styles proved successful in promoting reuse expertise to tackle architecture evolution. However, there do not exist any solutions that enable a continuous acquisition and application of architecture evolution knowledge to systematically address frequent changes in software architectures. In this paper, we propose a framework PatEvol that aims to unify the concepts of i) software repository mining and ii) software evolution to enable acquisition and application of architecture evolution knowledge. In the proposed PatEvol framework, we present knowledge acquisition (architecture evolution mining) to enable post-mortem analysis of evolution histories to empirically discover evolution-centric knowledge. Furthermore, we support reuse of discovered knowledge to enable knowledge application (architecture evolution execution) that enables evolution-off-the-shelf in software architectures. Tool support facilitates the knowledge acquisition and knowledge application processes in the PatEvol framework.Software systems continuously evolve as a consequence of frequent changes in their functional requirements and the environment surrounding them. Architecture-centric software evolution (ACSE) enables changes in software structure and behaviour while abstracting the complex implementation-specific details. However, due to recurring evolution there is a need for solutions that enable a systematic reuse of frequent changes in software architectures. In recent years, architecture change patterns and evolution styles proved successful in promoting reuse expertise to tackle architecture evolution. However, there do not exist any solutions that enable a continuous acquisition and application of architecture evolution knowledge to systematically address frequent changes in software architectures. In this paper, we propose a framework PatEvol that aims to unify the concepts of i) software repository mining and ii) software evolution to enable acquisition and application of architecture evolution knowledge. In the proposed PatEvol framework, we present knowledge acquisition (architecture evolution mining) to enable post-mortem analysis of evolution histories to empirically discover evolution-centric knowledge. Furthermore, we support reuse of discovered knowledge to enable knowledge application (architecture evolution execution) that enables evolution-off-the-shelf in software architectures. Tool support facilitates the knowledge acquisition and knowledge application processes in the PatEvol framework.
Collections Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: Lero: The Irish Software Engineering Research Centre
Ireland -> Dublin City University -> Publication Type = Article
Ireland -> Dublin City University -> Status = Published
Ireland -> University of Limerick -> Faculty of Science and Engineering
Ireland -> University of Limerick -> LERO
Ireland -> Dublin City University -> Subject = Computer Science: Software engineering
Ireland -> University of Limerick -> LERO - Project partner authors
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing

Full list of authors on original publication

Claus Pahl, Pooyan Jamshidi, Aakash Ahmad

Experts in our system

1
Claus Pahl
Dublin City University
Total Publications: 191
 
2
Pooyan Jamshidi
Dublin City University
Total Publications: 26