Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Digital Transformation at thyssenkrupp: Challenges, Strategies and Examples Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Analysis of Online Discussions in Support of Requirements Discovery

verfasst von : Itzel Morales-Ramirez, Fitsum Meshesha Kifetew, Anna Perini

Erschienen in: Advanced Information Systems Engineering

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Feedback about software applications and services that end-users express through web-based communication platforms represents an invaluable knowledge source for diverse software engineering tasks, including requirements elicitation. Research work on automated analysis of textual messages in app store reviews, open source software (OSS) mailing-lists and user forums has been rapidly increasing in the last five years. NLP techniques are applied to filter out irrelevant data, text mining and automated classification techniques are then used to classify messages into different categories, such as bug report and feature request. Our research focuses on online discussions that take place in user forums and OSS mailing-lists, and aims at providing automated analysis techniques to discover contained requirements. In this paper, we present a speech-acts based analysis technique, and experimentally evaluate it on a dataset taken from a widely used OSS project.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel User Interests Clustering in Business Intelligence Interactions
Nächstes Kapitel Discovering Causal Factors Explaining Business Process Performance Variation
Fußnoten
1
We use the term parameter as synonym of feature in a machine learning classification approach to avoid confusion with the term feature, which indicates a software application requirement or property, whenever necessary.
 
5
An illocutionary force refers to the pronouncing of a statement with an intention.
 
Literatur
1.
Adam, S., Seyff, N., Perini, A., Metzger, A.: Message from the chairs. In: 2015 IEEE 1st International Workshop on Crowd-Based Requirements Engineering (CrowdRE), pp. iii–iv, August 2015. doi:10.​1109/​CrowdRE.​2015.​7367580
2.
Arnaoudova, V., Haiduc, S., Marcus, A., Antoniol, G.: The use of text retrieval and natural language processing in software engineering. In: Proceedings of the 37th, ICSE 2015, pp. 949–950. IEEE Press (2015)
3.
Caleb, C., Schrock, D., Dauterman, P.: Speech act analysis within social network sites’ status messages. In: 59th International Communication Association Conference, vol. 20, May 2009
4.
Carreño, L.V.G., Winbladh, K.: Analysis of user comments: an approach for software requirements evolution. In: Notkin, D., Cheng, B.H.C., Pohl, K. (eds.) ICSE, pp. 582–591. IEEE/ACM (2013)
5.
Cowie, J., Lehnert, W.: Information extraction. Commun. ACM 39(1), 80–91 (1996)CrossRef
6.
Cunningham, H., Maynard, D., Bontcheva, K., Tablan, V., Aswani, N., Roberts, I., Gorrell, G., Funk, A., Roberts, A., Damljanovic, D., Heitz, T., Greenwood, M.A., Saggion, H., Petrak, J., Li, Y., Peters, W.: Text Processing with GATE (Version 6) (2011). ISBN: 978-0956599315. http://​tinyurl.​com/​gatebook
7.
Di Sorbo, A., Panichella, S., Alexandru, C.V., Shimagaki, J., Visaggio, C.A., Canfora, G., Gall, H.C.: What would users change in my app? summarizing app reviews for recommending software changes. In: Proceedings of the 2016 24th ACM SIGSOFT International Symposium FSE, pp. 499–510. ACM (2016)
8.
Fang, X., Zhan, J.: Sentiment analysis using product review data. J. Big Data 2(1), 1–14 (2015)CrossRef
9.
Feng, D., Shaw, E., Kim, J., Hovy, E.H.: An intelligent discussion-bot for answering student queries in threaded discussions. In: International Conference on Intelligent User Interfaces, pp. 171–177. ACM (2006)
10.
Godfrey, J.J., Holliman, E.C., McDaniel, J.: SWITCHBOARD: telephone speech corpus for research and development. In: Acoustics, Speech, and Signal Processing, ICASSP-1992, vol. 1, pp. 517–520 (1992)
11.
Guzman, E., Alkadhij, R., Seyff, N.: A needle in a haystack: what do Twitter users say about software? In: IEEE 24th International Conference in Requirements Engineering, pp. 96–105 (2016)
12.
Guzman, E., Aly, O., Bruegge, B.: Retrieving diverse opinions from app reviews. In: 2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), pp. 1–10, October 2015
13.
Keertipati, S., Savarimuthu, B.T.R., Licorish, S.A.: Approaches for prioritizing feature improvements extracted from app reviews. In: Proceedings of the 20th International Conference EASE, pp. 33:1–33:6. ACM, New York (2016)
14.
Kim, J., Chern, G., Feng, D., Shaw, E., Hovy, E.: Mining and assessing discussions on the web through speech act analysis. In: Proceedings of the Workshop on Web Content Mining with Human Language Technologies (2006)
15.
Maalej, W., Nabil, H.: Bug report, feature request, or simply praise? On automatically classifying app reviews. In: 2015 IEEE 23rd International Requirements Engineering Conference (RE), pp. 116–125. IEEE (2015)
16.
Manning, C.D., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S.J., McClosky, D.: The Stanford CoreNLP natural language processing toolkit. In: Association for Computational Linguistics (ACL) System Demonstrations, pp. 55–60 (2014)
17.
Martin, W., Sarro, F., Jia, Y., Zhang, Y., Harman, M.: A survey of app store analysis for software engineering. IEEE Trans. Softw. Eng., 1, 5555 (2016). doi:10.​1109/​TSE.​2016.​2630689
18.
Morales-Ramirez, I., Perini, A.: Discovering speech acts in online discussions: a tool-supported method. In: Joint Proceedings of the CAiSE 2014 Forum, volume 1164 of CEUR Workshop Proceedings, pp. 137–144. CEUR-WS.org (2014)
19.
Morales-Ramirez, I., Perini, A., Ceccato, M.: Towards supporting the analysis of online discussions in OSS communities: a speech-act based approach. In: Nurcan, S., Pimenidis, E. (eds.) CAiSE Forum 2014. LNBIP, vol. 204, pp. 215–232. Springer, Cham (2015). doi:10.​1007/​978-3-319-19270-3_​14 CrossRef
20.
Morales-Ramirez, I., Perini, A., Guizzardi, R.S.S.: An ontology of online user feedback in software engineering. Appl. Ontol. 10(3–4), 297–330 (2015)CrossRef
21.
Neulinger, K., Hannemann, A., Klamma, R., Jarke, M.: A longitudinal study of community-oriented open source software development. In: Nurcan, S., Soffer, P., Bajec, M., Eder, J. (eds.) CAiSE 2016. LNCS, vol. 9694, pp. 509–523. Springer, Cham (2016). doi:10.​1007/​978-3-319-39696-5_​31
22.
Novielli, N., Strapparava, C.: Dialogue act classification exploiting lexical semantics. In: Conversational Agents and Natural Language Interaction: Techniques and Effective Practices, pp. 80–106. IGI Global (2011)
23.
Panichella, S., Di Sorbo, A., Guzman, E., Visaggio, C.A., Canfora, G., Gall, H.C.: How can i improve my app? Classifying user reviews for software maintenance and evolution. In: IEEE International Conference on Software Maintenance and Evolution (ICSME), pp. 281–290. IEEE (2015)
24.
Searle, J.R.: Speech Acts: An Essay in the Philosophy of Language, vol. 626. Cambridge University Press, Cambridge (1969)CrossRef
25.
Stolcke, A., Coccaro, N., Bates, R., Taylor, P., Van Ess-Dykema, C., Ries, K., Shriberg, E., Jurafsky, D., Martin, R., Meteer, M.: Dialogue act modeling for automatic tagging and recognition of conversational speech. Comput. Linguist. 26(3), 339–373 (2000)CrossRef
26.
Villarroel, L., Bavota, G., Russo, B., Oliveto, R., Penta, M.D.: Release planning of mobile apps based on user reviews. In: Proceedings of the 38th International Conference on Software Engineering, pp. 14–24. ACM (2016)
27.
Wohlin, C., Runeson, P., Höst, M., Ohlsson, M.C., Regnell, B., Wesslén, A.: Experimentation in Software Engineering: An Introduction. Kluwer Academic Publishers, Norwell (2000)CrossRefMATH
Metadaten
Titel
Analysis of Online Discussions in Support of Requirements Discovery
verfasst von
Itzel Morales-Ramirez
Fitsum Meshesha Kifetew
Anna Perini
Copyright-Jahr
2017
Buch
Advanced Information Systems Engineering

Print ISBN: 978-3-319-59535-1

Electronic ISBN: 978-3-319-59536-8

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-59536-8_11

Premium Partner

    Bildnachweise