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2016 | OriginalPaper | Buchkapitel

Issues on Software Quality Models for Mastering Change

verfasst von : Michael Felderer

Erschienen in: Transactions on Foundations for Mastering Change I

Verlag: Springer International Publishing

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Abstract

A promising cornerstone to master change and to continuously control software quality in the context of todays dynamically evolving complex software systems are software quality models. These models provide an abstract and analyzable view of software artifacts with the objective to describe, assess and/or predict quality. Although software quality models have a high potential to improve effectiveness and efficiency of quality assurance to cope with software change, their acceptance and spread in the software industry is still rather low, as there are several unresolved issues that have to be addressed by upcoming research. This article discusses and exemplifies unresolved key issues on descriptive, generating and predictive software quality models with regard to the (1) creation and maintenance of models, (2) support for extra-functional aspects, (3) traceability between quality models and unstructured artifacts, (4) integration of software analytics and runtime information, (5) balance between quality and risk, (6) process integration, as well as (7) justification by empirical evidence, and relates these issues to challenges of mastering change in terms of the manifesto of the LNCS Transactions on Foundations for Mastering Change.

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Vorheriges Kapitel Continuous Collaboration for Changing Environments

Nächstes Kapitel Traceability Types for Mastering Change in Collaborative Software Quality Management

Breu, R., Kuntzmann-Combelles, A., Felderer, M.: New perspectives on software quality. IEEE Softw. 31(1), 32–38 (2014)CrossRef

Breu, R., Agreiter, B., Farwick, M., Felderer, M., Hafner, M., Innerhofer-Oberperfler, F.: Living models-ten principles for change-driven software engineering. Int. J. Softw. Inform. 5(1–2), 267–290 (2011)

Wagner, S.: Software Product Quality Control. Springer, New York (2014)

ISO/IEC 25010: 2011 Systems and software engineering - Systems and software Quality Requirements and Evaluation (SQuaRE) - System and software quality models (2011)

Wagner, S., Goeb, A., Heinemann, L., Kläs, M., Lampasona, C., Lochmann, K., Mayr, A., Plösch, R., Seidl, A., Streit, J., et al.: Operationalised product quality models and assessment: The Quamoco approach. Inf. Softw. Technol. 62, 101–123 (2015)CrossRef

Baker, P., Dai, Z.R., Grabowski, J., Haugen, Ø., Schieferdecker, I., Williams, C.: Model-Driven Testing. Springer, New York (2008)

Felderer, M., Chimiak-Opoka, J., Zech, P., Haisjackl, C., Fiedler, F., Breu, R.: Model validation in a tool-based methodology for system testing of service-oriented systems. Int. J. Adv. Softw. 4(1–2), 129–143 (2011)

Catal, C.: Software fault prediction: a literature review and current trends. Expert Syst. Appl. 38(4), 4626–4636 (2011)CrossRef

Goel, A.L.: Software reliability models: assumptions, limitations, and applicability. IEEE Trans. Softw. Eng. 12, 1411–1423 (1985)CrossRef

10.

Kan, S.H.: Metrics and Models in Software Quality Engineering. Addison-Wesley Longman Publishing Co., Inc., Reading (2002)MATH

11.

Völter, M., Stahl, T., Bettin, J., Haase, A., Helsen, S.: Model-Driven Software Development: Technology, Engineering, Management. Wiley, New York (2013)

12.

Steffen, B., Margaria, T., Nagel, R., Jörges, S., Kubczak, C.: Model-driven development with the jABC. In: Bin, E., Ziv, A., Ur, S. (eds.) HVC 2006. LNCS, vol. 4383, pp. 92–108. Springer, Heidelberg (2007). doi:10.1007/978-3-540-70889-6_7 CrossRef

13.

Menzies, T., Zimmermann, T.: Software analytics: so what? IEEE Softw. 30(4), 31–37 (2013)CrossRef

14.

Bird, C., Menzies, T., Zimmermann, T.: The Art and Science of Analyzing Software Data. Elsevier, Amsterdam (2015)

15.

Schieferdecker, I.: Model-based testing. IEEE Softw. 29(1), 14–18 (2012)CrossRef

16.

Steffen, B.: LNCS transactions on foundations for mastering change: preliminary manifesto. In: Margaria, T., Steffen, B. (eds.) ISoLA 2014, Part I. LNCS, vol. 8802, pp. 514–517. Springer, Heidelberg (2014)

17.

Felderer, M.: Current issues on model-based software quality assurance for mastering change. In: ISoLA 2014, Part I. LNCS, vol. 8802 pp. 521–523. Springer, Heidelberg (2014)

18.

McCall, J.,P.K., R., G.F., W.: Factors in software quality. Technical report, NTIS, vols. 1, 2 and 3 (1997)

19.

CISQ: CISQ Specifications for Automated Quality Characteristic Measures. Technical report, Consortium for IT Software Quality (2012. http://it-cisq.org/wp-content/uploads/2012/09/CISQ-Specification-for-Automated-Quality-Characteristic-Measures.pdf. Accessed 12 June 2015

20.

Pretschner, A., Philipps, J.: 10 methodological issues in model-based testing. In: Broy, M., Jonsson, B., Katoen, J.-P., Leucker, M., Pretschner, A. (eds.) Model-Based Testing of Reactive Systems. LNCS, vol. 3472, pp. 281–291. Springer, Heidelberg (2005). doi:10.1007/11498490_13 CrossRef

21.

Garousi, V., Felderer, M.: Developing, verifying, and maintaining high-quality automated test scripts. IEEE Softw. 33(3), 68–75 (2016)CrossRef

22.

Dias-Neto, A.C., Travassos, G.H.: A picture from the model-based testing area: concepts, techniques, and challenges. Adv. Comput. 80, 45–120 (2010)CrossRef

23.

Utting, M., Pretschner, A., Legeard, B.: A taxonomy of model-based testing approaches. Softw. Test. Verif. Reliab. 22(2), 297–312 (2012)CrossRef

24.

Felderer, M., Zech, P., Breu, R., Büchler, M., Pretschner, A.: Model-based security testing: a taxonomy and systematic classification. Softw. Test. Verif. Reliab. 26(2), 119–148 (2016)CrossRef

25.

Felderer, M., Agreiter, B., Breu, R.: Evolution of security requirements tests for service–centric systems. In: Erlingsson, Ú., Wieringa, R., Zannone, N. (eds.) ESSoS 2011. LNCS, vol. 6542, pp. 181–194. Springer, Heidelberg (2011). doi:10.1007/978-3-642-19125-1_14 CrossRef

26.

Zech, P., Felderer, M., Kalb, P., Breu, R.: A generic platform for model-based regression testing. In: Margaria, T., Steffen, B. (eds.) ISoLA 2012. LNCS, vol. 7609, pp. 112–126. Springer, Heidelberg (2012). doi:10.1007/978-3-642-34026-0_9 CrossRef

27.

Coleman, D., Lowther, B., Oman, P.: The application of software maintainability models in industrial software systems. J. Syst. Softw. 29(1), 3–16 (1995)CrossRef

28.

Arisholm, E., Briand, L.C., Johannessen, E.B.: A systematic and comprehensive investigation of methods to build and evaluate fault prediction models. J. Syst. Softw. 83(1), 2–17 (2010)CrossRef

29.

Kitchenham, B.: Towards a constructive quality model. Part 1: software quality modeling, measurement and prediction. Softw. Eng. J. 2(4), 105–113 (1987)CrossRef

30.

Windmüller, S., Neubauer, J., Steffen, B., Howar, F., Bauer, O.: Active continuous quality control. In: Proceedings of the 16th International ACM Sigsoft Symposium on Component-Based Software Engineering, pp. 111–120. ACM (2013)

31.

Völter, M., Benz, S., Dietrich, C., Engelmann, B., Helander, M., Kats, L.C., Visser, E., Wachsmuth, G.: DSL Engineering - Designing, Implementing and Using Domain-Specific Languages (2013). http://dslbook.org

32.

Di Rocco, J., Di Ruscio, D., Iovino, L., Pierantonio, A.: Collaborative repositories in model-driven engineering [software technology]. IEEE Softw. 3, 28–34 (2015)CrossRef

33.

Lago, P., Muccini, H., Van Vliet, H.: A scoped approach to traceability management. J. Syst. Softw. 82(1), 168–182 (2009)CrossRef

34.

Bjarnason, E., Runeson, P., Borg, M., Unterkalmsteiner, M., Engström, E., Regnell, B., Sabaliauskaite, G., Loconsole, A., Gorschek, T., Feldt, R.: Challenges and practices in aligning requirements with verification and validation: a case study of six companies. Empirical Softw. Eng. 19(6), 1809–1855 (2014)CrossRef

35.

Baeza-Yates, R., Ribeiro-Neto, B., et al.: Modern Information Retrieval, vol. 463. ACM Press, New York (1999)

36.

Borg, M., Runeson, P., Ardö, A.: Recovering from a decade: a systematic mapping of information retrieval approaches to software traceability. Empirical Softw. Eng. 19(6), 1565–1616 (2014)CrossRef

37.

Penzenstadler, B., Raturi, A., Richardson, D., Tomlinson, B.: Safety, security, now sustainability: the non-functional requirement for the 21st century (2014)

38.

Häser, F., Felderer, M., Breu, R.: Software paradigms, assessment types and non-functional requirements in model-based integration testing: a systematic literature review. In: Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering. ACM (2014). Article no 29

39.

Felderer, M., Fourneret, E.: A systematic classification of security regression testing approaches. Int. J. Softw. Tools Technol. Transfer 17(3), 305–319 (2015)CrossRef

40.

Hwang, J., Xie, T., El Kateb, D., Mouelhi, T., Le Traon, Y.: Selection of regression system tests for security policy evolution. In: Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering, ASE 2012, pp. 266–269. ACM (2012)

41.

Szvetits, M., Zdun, U.: Systematic literature review of the objectives, techniques, kinds, and architectures of models at runtime. Softw. Syst. Model. 15, 1–39 (2013)

42.

Wieczorek, M., Vos, D., Bons, H.: Systems and Software Quality. Springer, New York (2014)CrossRef

43.

Felderer, M., Ramler, R.: Integrating risk-based testing in industrial test processes. Softw. Qual. J. 22(3), 543–575 (2014)CrossRef

44.

Felderer, M., Ramler, R.: A multiple case study on risk-based testing in industry. Int. J. Softw. Tools Technol. Transfer 16(5), 609–625 (2014)CrossRef

45.

Felderer, M., Schieferdecker, I.: A taxonomy of risk-based testing. STTT 16(5), 559–568 (2014)CrossRef

46.

Felderer, M., Wendland, M.-F., Schieferdecker, I.: Risk-based testing. In: Margaria, T., Steffen, B. (eds.) ISoLA 2014. LNCS, vol. 8803, pp. 274–276. Springer, Heidelberg (2014). doi:10.1007/978-3-662-45231-8_19

47.

Neubauer, J., Windmüller, S., Steffen, B.: Risk-based testing via active continuous quality control. Int. J. Softw. Tools Technol. Transfer 16(5), 569–591 (2014)CrossRef

48.

Erdogan, G., Li, Y., Runde, R.K., Seehusen, F., Stølen, K.: Approaches for the combined use of risk analysis and testing: a systematic literature review. Int. J. Softw. Tools Technol. Transfer 16(5), 627–642 (2014)CrossRef

49.

Felderer, M., Haisjackl, C., Breu, R., Motz, J.: Integrating manual and automatic risk assessment for risk-based testing. In: Biffl, S., Winkler, D., Bergsmann, J. (eds.) SWQD 2012. LNBIP, vol. 94, pp. 159–180. Springer, Heidelberg (2012). doi:10.1007/978-3-642-27213-4_11 CrossRef

50.

Stallbaum, H., Metzger, A., Pohl, K.: An automated technique for risk-based test case generation and prioritization. In: Proceedings of the 3rd International Workshop on Automation of Software Test, pp. 67–70. ACM (2008)

51.

Ramler, R., Felderer, M.: Requirements for integrating defect prediction and risk-based testing. In: Euromicro SEAA 2016. IEEE (2016)

52.

Adorf, H.M., Felderer, M., Varendorff, M., Breu, R.: A Bayesian prediction model for risk-based test selection. In: Euromicro SEAA 2015. IEEE (2015)

53.

Margaria, T., Steffen, B.: Service engineering: linking business and it. Computer 39(10), 45–55 (2006)CrossRef

54.

Svahnberg, M., Gorschek, T., Feldt, R., Torkar, R., Saleem, S.B., Shafique, M.U.: A systematic review on strategic release planning models. Inf. Softw. Technol. 52(3), 237–248 (2010)CrossRef

55.

Ruhe, G., Eberlein, A., Pfahl, D.: Trade-off analysis for requirements selection. Int. J. Softw. Eng. Knowl. Eng. 13(04), 345–366 (2003)CrossRef

56.

Regnell, B., Svensson, R.B., Olsson, T.: Supporting roadmapping of quality requirements. IEEE Softw. 25(2), 42–47 (2008)CrossRef

57.

Felderer, M., Beer, A., Ho, J., Ruhe, G.: Industrial evaluation of the impact of quality-driven release planning. In: Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. ACM (2014). Article no. 62

58.

Wohlin, C., Runeson, P., Höst, M., Ohlsson, M.C., Regnell, B., Wesslén, A.: Experimentation in Software Engineering. Springer, New York (2012)CrossRefMATH

59.

Runeson, P., Höst, M.: Guidelines for conducting and reporting case study research in software engineering. Empirical Softw. Eng. 14(2), 131–164 (2009)CrossRef

60.

Ramesh, V., Glass, R.L., Vessey, I.: Research in computer science: an empirical study. J. Syst. Softw. 70(1), 165–176 (2004)CrossRef

61.

Sjøberg, D.I., Hannay, J.E., Hansen, O., Kampenes, V.B., Karahasanovic, A., Liborg, N.K., Rekdal, A.C.: A survey of controlled experiments in software engineering. IEEE Trans. Softw. Eng. 31(9), 733–753 (2005)CrossRef

62.

Pretschner, A., Prenninger, W., Wagner, S., Kühnel, C., Baumgartner, M., Sostawa, B., Zölch, R., Stauner, T.: One evaluation of model-based testing and its automation. In: Proceedings of the 27th International Conference on Software Engineering, pp. 392–401. ACM (2005)

63.

D’Ambros, M., Lanza, M., Robbes, R.: Evaluating defect prediction approaches: a benchmark and an extensive comparison. Empirical Softw. Eng. 17(4–5), 531–577 (2012)CrossRef

Titel: Issues on Software Quality Models for Mastering Change
verfasst von: Michael Felderer
Verlag: Springer International Publishing
Buch: Transactions on Foundations for Mastering Change I
Print ISBN: 978-3-319-46507-4

Electronic ISBN: 978-3-319-46508-1

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-46508-1_12

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