DocumentCode
2273239
Title
Challenges in enterprise software integration: An industrial study using repertory grids
Author
Rognerud, Heidi J. ; Hannay, Jo E.
Author_Institution
Dept. of Software Eng., Simula Res. Lab., Lysaker, Norway
fYear
2009
fDate
15-16 Oct. 2009
Firstpage
11
Lastpage
22
Abstract
To identify and systematize software practitioners´ perceptions of a problem is an important first step toward analyzing and searching for a solution to the problem. This paper reports on an industrial study, in which the repertory grid technique was used to elicit practitioners´ perceptions of key challenges in the company´s software integration practices. The perceptions of a total of nine practitioners from three organizational groups (developer, QA manager, project manager) were elicited and analyzed. We found that perceptions differ markedly between groups, but that on some issues, there is a consensus across all groups. Three types of challenges were identified as critical, causes, and easy to handle, namely responsibility, requirements, and knowledge. The elicited information may be used to plan process improvement for integration projects in the company, and may also be used in building a general ontology for integration challenges and their solutions.
Keywords
formal specification; formal verification; integrated software; ontologies (artificial intelligence); project management; quality assurance; software process improvement; software quality; systems analysis; QA management; enterprise software integration; industrial study; ontology; project management; repertory grid; requirements analysis; software developement; software practitioner perception elicitation; software process improvement; Companies; Computer industry; Hardware; Informatics; Laboratories; Project management; Quality management; Software engineering; Software measurement; Software systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Empirical Software Engineering and Measurement, 2009. ESEM 2009. 3rd International Symposium on
Conference_Location
Lake Buena Vista, FL
ISSN
1938-6451
Print_ISBN
978-1-4244-4842-5
Electronic_ISBN
1938-6451
Type
conf
DOI
10.1109/ESEM.2009.5316045
Filename
5316045
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