Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Requirements Engineering |
| Untertitel | Foundation for Software Quality - 18th International Working Conference, REFSQ 2012, Proceedings |
| Seiten | 165-171 |
| Seitenumfang | 7 |
| Publikationsstatus | Veröffentlicht - 2012 |
| Veranstaltung | 18th Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2012 - Essen, Deutschland Dauer: 19 März 2012 → 22 März 2012 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Band | 7195 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
Abstract
Context & motivation: Despite significant advances in requirements engineering (RE) research and practice, software developing organisations still struggle to create requirements documentation in sufficient quality and in a repeatable way. Question/problem: The notion of good-enough quality is domain and project specific. Software developing organisations need concepts that i) allow adopting a suitable set of RE methods for their domain and projects and ii) allow improving these methods continuously. Principal ideas/results: Automatic analysis of requirements documentation can support a process of organisational learning. Such approaches help improve requirements documents, but can also start a discussion about its desired quality. Contribution: We present a learning model based on heuristic critiques. The paper shows how this concept can support learning on both the organisational and individual levels.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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Requirements Engineering: Foundation for Software Quality - 18th International Working Conference, REFSQ 2012, Proceedings. 2012. S. 165-171 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 7195 LNCS).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Supporting learning organisations in writing better requirements documents based on heuristic critiques
AU - Knauss, Eric
AU - Schneider, Kurt
PY - 2012
Y1 - 2012
N2 - Context & motivation: Despite significant advances in requirements engineering (RE) research and practice, software developing organisations still struggle to create requirements documentation in sufficient quality and in a repeatable way. Question/problem: The notion of good-enough quality is domain and project specific. Software developing organisations need concepts that i) allow adopting a suitable set of RE methods for their domain and projects and ii) allow improving these methods continuously. Principal ideas/results: Automatic analysis of requirements documentation can support a process of organisational learning. Such approaches help improve requirements documents, but can also start a discussion about its desired quality. Contribution: We present a learning model based on heuristic critiques. The paper shows how this concept can support learning on both the organisational and individual levels.
AB - Context & motivation: Despite significant advances in requirements engineering (RE) research and practice, software developing organisations still struggle to create requirements documentation in sufficient quality and in a repeatable way. Question/problem: The notion of good-enough quality is domain and project specific. Software developing organisations need concepts that i) allow adopting a suitable set of RE methods for their domain and projects and ii) allow improving these methods continuously. Principal ideas/results: Automatic analysis of requirements documentation can support a process of organisational learning. Such approaches help improve requirements documents, but can also start a discussion about its desired quality. Contribution: We present a learning model based on heuristic critiques. The paper shows how this concept can support learning on both the organisational and individual levels.
KW - experience management
KW - heuristic critiques
KW - learning software organisations
KW - requirements documentation
UR - http://www.scopus.com/inward/record.url?scp=84858331967&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-28714-5_14
DO - 10.1007/978-3-642-28714-5_14
M3 - Conference contribution
AN - SCOPUS:84858331967
SN - 9783642287138
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 165
EP - 171
BT - Requirements Engineering
T2 - 18th Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2012
Y2 - 19 March 2012 through 22 March 2012
ER -