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http://dx.doi.org/10.18419/opus-8479
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DC Element | Wert | Sprache |
---|---|---|
dc.contributor.author | Femmer, Henning | de |
dc.contributor.author | Méndez Fernández, Daniel | de |
dc.contributor.author | Wagner, Stefan | de |
dc.contributor.author | Eder, Sebastian | de |
dc.date.accessioned | 2016-03-03 | de |
dc.date.accessioned | 2016-03-31T11:47:02Z | - |
dc.date.available | 2016-03-03 | de |
dc.date.available | 2016-03-31T11:47:02Z | - |
dc.date.issued | 2016 | de |
dc.identifier.uri | http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-105593 | de |
dc.identifier.uri | http://elib.uni-stuttgart.de/handle/11682/8496 | - |
dc.identifier.uri | http://dx.doi.org/10.18419/opus-8479 | - |
dc.description.abstract | Context: Bad requirements quality can cause expensive consequences during the software development lifecycle, especially if iterations are long and feedback comes late. Objectives: We aim at a light-weight static requirements analysis approach that allows for rapid checks immediately when requirements are written down. Method: We transfer the concept of code smells to Requirements Engineering as Requirements Smells. To evaluate the benefits and limitations, we define Requirements Smells, realize our concepts for a smell detection in a prototype called Smella and apply Smella in a series of cases provided by three industrial and a university context. Results: The automatic detection yields an average precision of 59% at an average recall of 82% with high variation. The evaluation in practical environments indicates benefits such as an increase of the awareness of quality defects. Yet, some smells were not clearly distinguishable. Conclusion: Lightweight smell detection can uncover many practically relevant requirements defects in a reasonably precise way. Although some smells need to be defined more clearly, smell detection provides a helpful means to support quality assurance in Requirements Engineering, for instance, as a supplement to reviews. | en |
dc.language.iso | en | de |
dc.rights | info:eu-repo/semantics/openAccess | de |
dc.subject.classification | Requirements engineering , Qualitätssicherung , Fehlererkennung | de |
dc.subject.ddc | 004 | de |
dc.subject.other | Automatische Fehlererkennung , Smells in Anforderungen | de |
dc.subject.other | Automatic Defect Detection , Requirements Smells | en |
dc.title | Rapid quality assurance with requirements smells | en |
dc.type | preprint | de |
ubs.bemerkung.extern | Accepted for publication in the Journal of systems and software<br>This work was performed within the project Q-Effekt; it was partially funded by the German Federal Ministry of Education and Research (BMBF) under grant no. 01IS15003 A-B. | de |
ubs.fakultaet | Fakultätsübergreifend / Sonstige Einrichtung | de |
ubs.fakultaet | Fakultät Informatik, Elektrotechnik und Informationstechnik | de |
ubs.institut | Sonstige Einrichtung | de |
ubs.institut | Institut für Softwaretechnologie | de |
ubs.opusid | 10559 | de |
ubs.publikation.noppn | yes | de |
ubs.publikation.typ | Preprint | de |
Enthalten in den Sammlungen: | 15 Fakultätsübergreifend / Sonstige Einrichtung |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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2014_jss_requirements_smells.pdf | 5,63 MB | Adobe PDF | Öffnen/Anzeigen |
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