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Towards Requirements Analytics: A Research Agenda to Model and Evaluate the Quality of Unstructured Requirements Specifications

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Exploring Services Science (IESS 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 279))

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Abstract

Communication between actors in a service system can be based on unstructured text. The quality of this text is crucial for the effort and output of a service system. The paper presents an approach to evaluate and model the quality by using requirements from automotive development projects as practical example. The aim is to define quality by using relevant attributes and quantifiable measures. First results include the development of an assessment tool and an initial analysis of the available dataset.

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References

  1. Maglio, P.P., Vargo, S.L., Caswell, N., Spohrer, J.: The service system is the basic abstraction of service science. Inf. Syst. E-Bus. Manage. 7(4), 395–406 (2009)

    Article  Google Scholar 

  2. Tien, J.M., Berg, D.: On services research and education. J. Syst. Sci. Syst. Eng. 15(3), 257–283 (2006)

    Article  Google Scholar 

  3. Lusch, R.F., Vargo, S.L.: The Service-Dominant Logic of Marketing: Dialog, Debate, and Directions. M.E. Sharpe, New York (2006)

    Google Scholar 

  4. Spohrer, J., Maglio, P.P., Bailey, J., Gruhl, D.: Steps toward a science of service systems. Comput. (Long. Beach. Calif.) 40, 71–77 (2007)

    Google Scholar 

  5. Böhmann, T., Leimeister, J.M., Möslein, K., Leimeister, J.: Service systems engineering. Bus. Syst. Eng. 6(2), 73–79 (2014)

    Article  Google Scholar 

  6. Gaiardelli, P., Songini, L., Saccani, N.: The automotive industry: heading towards servitization in turbulent times. In: Servitization in Industry (2014). http://doi.org/10.1007/978-3-319-06935-7-4

  7. Verstrepen, S., Deschoolmeester, D., Berg, R.J.: Servitization in the automotive sector: creating value and competitive advantage through service after sales. In: Mertins, K., Krause, O., Schallock, B. (eds.) Global Production Management. ITIFIP, vol. 24, pp. 538–545. Springer, Boston (1999). doi:10.1007/978-0-387-35569-6_66

    Chapter  Google Scholar 

  8. Westphal, I., Nehls, J., Wiesner, S., Thoben, K.-D.: Steigerung der Attraktivität von Elektroautomobilen durch neue Produkt-Service-Kombinationen. Industrie Manage. 5, 19–24 (2013)

    Google Scholar 

  9. Broy, M.: Automotive software and systems engineering. In: Proceedings of the Second ACM and IEEE International Conference on Formal Methods and Models for Co-design, pp. 143–149 (2005)

    Google Scholar 

  10. Grimm, K.: Software technology in an automotive company: major challenges. In: Proceedings of the 25th International Conference on Software Engineering, pp. 498–503. IEEE Computer Society (2003)

    Google Scholar 

  11. Kneuper, R., Sollmann, F.: Normen zum Qualitätsmanagement bei der Softwareentwicklung. Informatik Spektrum. 18(6), 314–323 (1995)

    Google Scholar 

  12. Wilson, W.: Writing effective natural language requirements specifications. In: Software Technology Conference, pp. 1–14 (1997)

    Google Scholar 

  13. Alshazly, A., Elfatatry, A., Abougabal, M.: Detecting defects in software requirements specification. Alexandria Eng. J. 53(3), 513–527 (2014)

    Article  Google Scholar 

  14. Juristo, N., Moreno, A.M., Silva, A.: Is the European industry moving toward solving requirements engineering problems? IEEE Softw. 19(6), 70–77 (2002)

    Article  Google Scholar 

  15. Davis, A., Overmyer, S., Jordan, K., Caruso, J., Dandashi, F., Dinh, A.: Identifying and measuring quality in a software requirements specification. In: IEEE Software Metrics Symposium, pp. 141–152 (1993)

    Google Scholar 

  16. Lochmann, K., Fernández, D.M., Wagner, S.: A case study on specifying quality requirements using a quality model. In: APSEC, pp. 577–582 (2012)

    Google Scholar 

  17. Mund, J.: Quality Assessment of Requirement Specifications Using Metrics–A Research Proposal (2013)

    Google Scholar 

  18. Bellotti, M., Mariani, R.: How future automotive functional safety requirements will impact microprocessors design. Microelectron. Reliabil. 50(9), 1320–1326 (2010)

    Article  Google Scholar 

  19. Papadopoulos, Y., Parker, D., Grante, C.: Automating the failure modes and effects analysis of safety critical systems. In: Proceedings of the Eighth IEEE International Symposium on High Assurance Systems Engineering, pp. 310–311 (2004)

    Google Scholar 

  20. Weber, M., Weisbrod, J.: Requirements engineering in automotive development-experiences and challenges. In: Proceedings of the IEEE International Conference on Requirements Engineering, pp. 331–340 (2002)

    Google Scholar 

  21. Génova, G., Fuentes, J., Llorens, J., Hurtado, O., Moreno, V.: A framework to measure and improve the quality of textual requirements. Requir. Eng. 18(1), 25–41 (2013)

    Article  Google Scholar 

  22. Parra, E., Dimou, C., Llorens, J., Moreno, V., Fraga, A.: A methodology for the classification of quality of requirements using machine learning techniques. Inf. Softw. Technol. 67, 180–195 (2015)

    Article  Google Scholar 

  23. Femmer, H., Méndez Fernández, D., Wagner, S., Eder, S.: Rapid quality assurance with requirements smells. J. Syst. Softw. 123, 190–213 (2015)

    Article  Google Scholar 

  24. Brocke, V., Simons, A., Niehaves, B., Riemer, K., Plattfaut, R., Cleven, A.: Reconstructing the giant: on the importance of rigour in documenting the literature search process. In: Proceedings of the 17th European Conference on Information Systems, Verona, pp. 2206–2217 (2009)

    Google Scholar 

  25. Rowley, J., Slack, F.: Conducting a literature review. Manage. Res. News 27(6), 31–39 (2004)

    Article  Google Scholar 

  26. Ebert, C.: Systematisches Requirements Engineering: Anforderungen ermitteln, dokumentieren, analysieren und verwalten. dpunkt.verlag, Heidelberg (2014)

    Google Scholar 

  27. Rupp, C., Klaus, P.: Basiswissen Requirements Engineering: Aus-und Weiterbildung nach IREB-Standard zum Certified Professional for Requirements Engineering Foundation Level. dpunkt.verlag, Heidelberg (2015)

    Google Scholar 

  28. Webster, J., Watson, R.T.: Analyzing the past to prepare for the future: writing a literature review. MIS Q. 26(2), xiii–xxiii (2002)

    Google Scholar 

  29. IEEE Std. 830-1998: Recommended Practice for Software Requirements Specification. IEEE (1998)

    Google Scholar 

  30. Kaindl, H., Lutz, B., Tippold, P.: Methodik der Softwareentwicklung: Vorgehensmodell und State of the art der professionellen Praxis. Springer Fachmedien Wiesbaden GmbH, Wiesbaden (1998)

    Book  MATH  Google Scholar 

  31. vom Brocke, J., Simons, A., Riemer, K., Niehaves, B., Plattfaut, R., Cleven, A.: Standing on the shoulders of giants: challenges and recommendations of literature search in information systems research. Commun. Assoc. Inf. Syst. 37(1), 205–224 (2015)

    Google Scholar 

  32. Cooper, H.: Organizing knowledge syntheses: a taxonomy of literature reviews. Knowl. Technol. Policy 1, 104–126 (1988)

    Article  Google Scholar 

  33. Walstrom, K.A., Hardgrave, B.C.: Forums for information systems scholars: III. Inf. Manage. 39(2), 117–124 (2001)

    Article  Google Scholar 

  34. Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C., Wirth, R.: CRISP-DM 1.0 step-by-step data mining guide (2000)

    Google Scholar 

  35. Kivinen, J., Warmuth, M.K., Auer, P.: The perceptron algorithm versus winnow: linear versus logarithmic mistake bounds when few input variables are relevant. Artif. Intell. 97(1–2), 325–343 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  36. Joachims, T.: Text categorization with support vector machines: learning with many relevant features. In: Nédellec, C., Rouveirol, C. (eds.) ECML 1998. LNCS, vol. 1398, pp. 137–142. Springer, Heidelberg (1998). doi:10.1007/BFb0026683

    Google Scholar 

  37. Hsu, C., Chang, C., Lin, C.: A practical guide to support vector classification. Department of Computer Science and Information Engineering, National Taiwan University (2003)

    Google Scholar 

  38. Saunders, M., Lewis, P., Thornhill, A.: Research Methods for Business Students, 6th edn. Pearson Education, Harlow (2012)

    Google Scholar 

  39. King, N.: Using interviews in qualitative research. In: Cassell, C., Symon, G. (eds.) Essential Guide to Qualitative Methods in Organizational Research, pp. 11–22. Sage, London (2004)

    Chapter  Google Scholar 

  40. Dröschel, W., Wiemers, M.: Das V-Modell 97: der Standard für die Entwicklung von IT-Systemen mit Anleitung für den Praxiseinsatz. Walter de Gruyter GmbH & Co. KG (1999)

    Google Scholar 

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Acknowledgments

The author would like to thank Léa Vernisse for her general support regarding the implementation of the assessment tool and her input for the research issues as well as Gerhard Satzger for his continuous support.

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Authors and Affiliations

  1. Karlsruhe Service Research Institute (KSRI), Karlsruhe Institute of Technology (KIT), Kaiserstraße 89, 76133, Karlsruhe, Germany

    Patrick Kummler

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  1. Patrick Kummler
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Correspondence to Patrick Kummler .

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Editors and Affiliations

  1. Faculty of Economics, eCampus University, Rome, Italy

    Stefano Za

  2. Department of Automatic Control and System Engineering, University Politehnica of Bucharest, Bucharest, Romania

    Monica Drăgoicea

  3. Università Cattolica del Sacro Cuore, Milan, Italy

    Maurizio Cavallari

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Kummler, P. (2017). Towards Requirements Analytics: A Research Agenda to Model and Evaluate the Quality of Unstructured Requirements Specifications. In: Za, S., Drăgoicea, M., Cavallari, M. (eds) Exploring Services Science. IESS 2017. Lecture Notes in Business Information Processing, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-319-56925-3_16

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  • DOI: https://doi.org/10.1007/978-3-319-56925-3_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56924-6

  • Online ISBN: 978-3-319-56925-3

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