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Pregled bibliografske jedinice broj: 392405

Analyzing Software Evolvability of an Industrial Automation Control System: A Case Study


Hongyu Pei-Breivold; Ivica Crnkovic; Rikard Land; Magnus Larsson
Analyzing Software Evolvability of an Industrial Automation Control System: A Case Study // The Third International Conference on Software Engineering Advances (ICSEA), IEEE
Sliema, Malta, 2008. str. 1-9 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 392405 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Analyzing Software Evolvability of an Industrial Automation Control System: A Case Study

Autori
Hongyu Pei-Breivold ; Ivica Crnkovic ; Rikard Land ; Magnus Larsson

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
The Third International Conference on Software Engineering Advances (ICSEA), IEEE / - , 2008, 1-9

Skup
The Third International Conference on Software Engineering Advances (ICSEA), IEEE, Sliema, Malta

Mjesto i datum
Sliema, Malta, 10.2008

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
control engineering computing; industrial control; software complexity; software evolvability; software system evolution; measurement; performance

Sažetak
Evolution of software systems is characterized by inevitable changes of software and increasing software complexity, which in turn may lead to huge maintenance and development costs. For long- lived systems, there is a need to address evolvability (i.e. a system’ s ability to easily accommodate changes) explicitly in the requirements and early design phases, and maintain it during the entire lifecycle. This paper describes our work in analyzing and improving the evolvability of an industrial automation control system, and presents 1) evolvability subcharacteristics based on the problems in the case and available literature ; 2) a structured method for analyzing evolvability at the architectural level - the ARchitecture Evolvability Analysis (AREA) method. This paper includes also the main analysis results and our observations during the evolvability analysis process in the case study. The evolvability subcharacteristics and the method should be generally applicable, and they are being validated within another domain at the time of writing.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
016-0161199-1715 - Informacijska infrastruktura i interoperabilnost (Vrček, Neven, MZOS ) ( CroRIS)
036-0361959-1965 - Programsko inženjerstvo u sveprisutnom računarstvu (Žagar, Mario, MZO ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Volker Magnus (autor)


Citiraj ovu publikaciju:

Hongyu Pei-Breivold; Ivica Crnkovic; Rikard Land; Magnus Larsson
Analyzing Software Evolvability of an Industrial Automation Control System: A Case Study // The Third International Conference on Software Engineering Advances (ICSEA), IEEE
Sliema, Malta, 2008. str. 1-9 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Hongyu Pei-Breivold, Ivica Crnkovic, Rikard Land & Magnus Larsson (2008) Analyzing Software Evolvability of an Industrial Automation Control System: A Case Study. U: The Third International Conference on Software Engineering Advances (ICSEA), IEEE.
@article{article, year = {2008}, pages = {1-9}, keywords = {control engineering computing, industrial control, software complexity, software evolvability, software system evolution, measurement, performance}, title = {Analyzing Software Evolvability of an Industrial Automation Control System: A Case Study}, keyword = {control engineering computing, industrial control, software complexity, software evolvability, software system evolution, measurement, performance}, publisherplace = {Sliema, Malta} }
@article{article, year = {2008}, pages = {1-9}, keywords = {control engineering computing, industrial control, software complexity, software evolvability, software system evolution, measurement, performance}, title = {Analyzing Software Evolvability of an Industrial Automation Control System: A Case Study}, keyword = {control engineering computing, industrial control, software complexity, software evolvability, software system evolution, measurement, performance}, publisherplace = {Sliema, Malta} }




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