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http://dx.doi.org/10.18419/opus-3483
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DC Element | Wert | Sprache |
---|---|---|
dc.contributor.author | Vetrò, Antonio | de |
dc.contributor.author | Ognawala, Saahil | de |
dc.contributor.author | Méndez Fernández, Daniel | de |
dc.contributor.author | Wagner, Stefan | de |
dc.date.accessioned | 2015-03-25 | de |
dc.date.accessioned | 2016-03-31T08:02:03Z | - |
dc.date.available | 2015-03-25 | de |
dc.date.available | 2016-03-31T08:02:03Z | - |
dc.date.issued | 2015 | de |
dc.identifier.other | 428241344 | de |
dc.identifier.uri | http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-99159 | de |
dc.identifier.uri | http://elib.uni-stuttgart.de/handle/11682/3500 | - |
dc.identifier.uri | http://dx.doi.org/10.18419/opus-3483 | - |
dc.description.abstract | Background/Context: Gathering empirical knowledge is a time consuming task and the results from empirical studies often are soon outdated by new technological solutions. As a result, the impact of empirical results on software engineering practice is often not guaranteed. Objective/Aim: In this paper, we summarize the ongoing discussion on "Empirical Software Engineering 2.0" as a way to improve the impact of empirical results on industrial practices. We propose a way to combine data mining and analysis with domain knowledge to enable fast feedback cycles in empirical software engineering research. Method: We identify the key concepts on gathering fast feedback in empirical software engineering by following an experience-based line of reasoning by argument. Based on the identified key concepts, we design and execute a small proof of concept with a company to demonstrate potential benefits of the approach. Results: In our example, we observed that a simple double feedback mechanism notably increased the precision of the data analysis and improved the quality of the knowledge gathered. Conclusion: Our results serve as a basis to foster discussion and collaboration within the research community for a development of the idea. | en |
dc.language.iso | en | de |
dc.rights | info:eu-repo/semantics/openAccess | de |
dc.subject.classification | Forschung , Software Engineering , Empirie | de |
dc.subject.ddc | 004 | de |
dc.subject.other | Empirische Methoden , Forschungsmethoden , Data Mining , Wissenstransfer | de |
dc.subject.other | Empirical Methods , Research Methods , Data Mining , Knowledge Transfer | en |
dc.title | Fast feedback cycles in empirical software engineering research | en |
dc.type | conferenceObject | de |
ubs.bemerkung.extern | This is the authors' version of the work. Copyright is held by IEEE. | de |
ubs.fakultaet | Fakultät Informatik, Elektrotechnik und Informationstechnik | de |
ubs.fakultaet | Fakultätsübergreifend / Sonstige Einrichtung | de |
ubs.institut | Institut für Softwaretechnologie | de |
ubs.institut | Sonstige Einrichtung | de |
ubs.opusid | 9915 | de |
ubs.publikation.source | 37th International Conference on Software Engineering (ICSE'15) | de |
ubs.publikation.typ | Konferenzbeitrag | de |
Enthalten in den Sammlungen: | 05 Fakultät Informatik, Elektrotechnik und Informationstechnik |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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FFC.pdf | 158,21 kB | Adobe PDF | Öffnen/Anzeigen |
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