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Analyzing Software Evolvability
Mälardalen University, School of Innovation, Design and Engineering. (BESS)ORCID iD: 0000-0001-7153-3785
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0002-5278-755X
ABB AB.
2008 (English)In: Proceedings - International Computer Software and Applications Conference, 2008, p. 327-330Conference paper, Published paper (Refereed)
Abstract [en]

Software evolution is characterized by inevitable changes of software and increasing software complexities, which in turn may lead to huge costs unless rigorously taking into account change accommodations. This is in particular true for long-lived systems in which changes go beyond maintainability. For such systems, there is a need to address evolvability explicitly during the entire lifecycle. Nevertheless, there is a lack of a model that can be used for analyzing, evaluating and comparing software systems in terms of evolvability. In this paper, we describe the initial establishment of an evolvability model as a framework for analysis of software evolvability. We motivate and exemplify the model through an industrial case study of a software-intensive automation system.

Place, publisher, year, edition, pages
2008. p. 327-330
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-4436DOI: 10.1109/COMPSAC.2008.50Scopus ID: 2-s2.0-51949097703ISBN: 978-0-7695-3262-2 (print)OAI: oai:DiVA.org:mdh-4436DiVA, id: diva2:127327
Conference
32nd Annual IEEE International Computer Software and Applications Conference, COMPSAC 2008; Turku; 28 July 2008 through 1 August 2008
Available from: 2008-12-04 Created: 2008-12-04 Last updated: 2014-06-25Bibliographically approved
In thesis
1. Software Architecture Evolution and Software Evolvability
Open this publication in new window or tab >>Software Architecture Evolution and Software Evolvability
2009 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Software is characterized by inevitable changes and increasing complexity, which in turn may lead to huge costs unless rigorously taking into account change accommodations. This is in particular true for long-lived systems. For such systems, there is a need to address evolvability explicitly during the entire lifecycle, carry out software evolution efficiently and reliably, and prolong the productive lifetime of the software systems.

In this thesis, we study evolution of software architecture and investigate ways to support this evolution.           The central theme of the thesis is how to analyze software evolvability, i.e. a system’s ability to easily accommodate changes. We focus on several particular aspects: (i) what software characteristics are necessary to constitute an evolvable software system; (ii) how to assess evolvability in a systematic manner; (iii) what impacts need to be considered given a certain change stimulus that results in potential requirements the software architecture needs to adapt to, e.g. ever-changing business requirements and advances of technology.

To improve the capability in being able to on forehand understand and analyze systematically the impact of a change stimulus, we introduce a software evolvability model, in which subcharacteristics of software evolvability and corresponding measuring attributes are identified. In addition, a further study of one particular measuring attribute, i.e. modularity, is performed through a dependency analysis case study.

We introduce a method for analyzing software evolvability at the architecture level. This is to ensure that the implications of the potential improvement strategies and evolution path of the software architecture are analyzed with respect to the evolvability subcharacteristics. This method is proposed and piloted in an industrial setting.

The fact that change stimuli come from both technical and business perspectives spawns two aspects that we also look into in this research, i.e. to respectively investigate the impacts of technology-type and business-type of change stimuli.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2009
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 97
National Category
Computer Engineering
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-4540 (URN)978-91-86135-15-7 (ISBN)
Presentation
2009-01-26, Gamma, Västerås, 14:15 (English)
Opponent
Supervisors
Available from: 2009-01-09 Created: 2008-12-17 Last updated: 2018-01-13Bibliographically approved

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Pei Breivold, HongyuCrnkovic, Ivica

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