Studying software descriptions in SourceForge and app stores for a better understanding of real-life requirements
F. Bäumer, M. Dollmann, M. Geierhos, in: Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics, Association for Computing Machinery ACM, New York, NY, USA, 2017, pp. 19–25.
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Konferenzbeitrag
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| Englisch
Autor*in
Bäumer, Frederik
;
Dollmann, Markus;
Geierhos, Michaela
Abstract
Users prefer natural language software requirements because of their usability and accessibility. Many approaches exist to elaborate these requirements and to support the users during the elicitation process. But there is a lack of dequate resources, which are needed to train and evaluate approaches for requirement refinement. We are trying to close this gap by using online available software descriptions from SourceForge and app stores. Thus, we present two real-life requirements collections based on online-available software descriptions. Our goal is to show the domain-specific characteristics of content words describing functional requirements. On the one hand, we created a semantic role-labeled requirements set, which we use for requirements classification. On the other hand, we enriched software descriptions with linguistic features and dependencies to provide evidence for the context-awareness
of software functionalities.
Erscheinungsjahr
Titel des Konferenzbandes
Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics
Seite
19-25
Konferenz
ESEC/FSE'17: Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering
Konferenzort
Paderborn Germany
Konferenzdatum
2017-09-05 – 2017-09-05
ISBN
FH-PUB-ID
Zitieren
Bäumer, Frederik ; Dollmann, Markus ; Geierhos, Michaela: Studying software descriptions in SourceForge and app stores for a better understanding of real-life requirements. In: Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics. New York, NY, USA : Association for Computing Machinery ACM, 2017, S. 19–25
Bäumer F, Dollmann M, Geierhos M. Studying software descriptions in SourceForge and app stores for a better understanding of real-life requirements. In: Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics. New York, NY, USA: Association for Computing Machinery ACM; 2017:19-25. doi:10.1145/3121264.3121269
Bäumer, F., Dollmann, M., & Geierhos, M. (2017). Studying software descriptions in SourceForge and app stores for a better understanding of real-life requirements. In Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics (pp. 19–25). New York, NY, USA: Association for Computing Machinery ACM. https://doi.org/10.1145/3121264.3121269
@inproceedings{Bäumer_Dollmann_Geierhos_2017, place={New York, NY, USA}, title={Studying software descriptions in SourceForge and app stores for a better understanding of real-life requirements}, DOI={10.1145/3121264.3121269}, booktitle={Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics}, publisher={Association for Computing Machinery ACM}, author={Bäumer, Frederik and Dollmann, Markus and Geierhos, Michaela}, year={2017}, pages={19–25} }
Bäumer, Frederik, Markus Dollmann, and Michaela Geierhos. “Studying Software Descriptions in SourceForge and App Stores for a Better Understanding of Real-Life Requirements.” In Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics, 19–25. New York, NY, USA: Association for Computing Machinery ACM, 2017. https://doi.org/10.1145/3121264.3121269.
F. Bäumer, M. Dollmann, and M. Geierhos, “Studying software descriptions in SourceForge and app stores for a better understanding of real-life requirements,” in Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics, Paderborn Germany, 2017, pp. 19–25.
Bäumer, Frederik, et al. “Studying Software Descriptions in SourceForge and App Stores for a Better Understanding of Real-Life Requirements.” Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics, Association for Computing Machinery ACM, 2017, pp. 19–25, doi:10.1145/3121264.3121269.
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