Estimating the Implementation Risk of Requirements in Agile Software Development Projects with Traceability Metrics

1. Bansiya, J., Davis, C.G.: A hierarchical model for object-oriented design quality assessment. IEEE Transactions on Software Engineering 28(1), 4–17 (2002)

   Article  Google Scholar 

2. Beck, K., Beedle, M., van Bennekum, A., Cockburn, A., Cunningham, W., Fowler, M., Grenning, J., Highsmith, J., Hunt, A., Jeffries, R., et al.: The agile manifesto (2001)

   Google Scholar 

3. Boehm, B., Basili, V.R.: Software defect reduction top 10 list. Computer 34(1), 135–137 (2001)

   Article  Google Scholar 

4. Boehm, B., Turner, R.: Using risk to balance agile and plan-driven methods. Computer 36(6), 57–66 (2003)

   Article  Google Scholar 

5. Breusch, T.S., Pagan, A.R.: A simple test for heteroscedasticity and random coefficient variation. Econometrica: Journal of the Econometric Society, 1287–1294 (1979)

   Google Scholar 

6. Briand, L.C., Wüst, J., Daly, J.W., Victor Porter, D.: Exploring the relationships between design measures and software quality in object-oriented systems. Journal of Systems and Software 51(3), 245–273 (2000)

   Article  Google Scholar 

7. Burnham, K.P., Anderson, D.R., Huyvaert, K.P.: Aic model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons. Behavioral Ecology and Sociobiology 65(1), 23–35 (2011)

   Article  Google Scholar 

8. Cao, L., Ramesh, B.: Agile requirements engineering practices: An empirical study. IEEE Software 25(1), 60–67 (2008)

   Article  Google Scholar 

9. Cohn, M.: Agile estimating and planning. Pearson Education (2006)

   Google Scholar 

10. Costello, R.J., Liu, D.B.: Metrics for requirements engineering. Journal of Systems and Software 29(1), 39–63 (1995)

    Article  Google Scholar 

11. Dick, J.: Rich traceability. In: Proc. of the 1st Int. Workshop on Traceability in Emerging Forms of Software Engineering, Edinburgh, Scotland, pp. 18–23 (2002)

    Google Scholar 

12. Fenton, N.E., Pfleeger, S.L.: Software metrics: a rigorous and practical approach. PWS Publishing Co. (1998)

    Google Scholar 

13. Git. http://git-scm.com/

14. Graves, T.L., Karr, A.F., Marron, J.S., Siy, H.: Predicting fault incidence using software change history. IEEE TSE 26(7), 653–661 (2000)

    Google Scholar 

15. Hull, E., Jackson, K., Dick, J.: Requirements engineering. Springer, London (2011)

    Book  MATH  Google Scholar 

16. Jaber, K., Sharif, B., Liu, C.: A study on the effect of traceability links in software maintenance. IEEE Access 1, 726–741 (2013)

    Article  Google Scholar 

17. JIRA. https://www.atlassian.com/software/jira

18. Leffingwell, D.: Agile software requirements: lean requirements practices for teams, programs, and the enterprise. Addison-Wesley Professional (2010)

    Google Scholar 

19. Mäder, P., Egyed, A.: Do developers benefit from requirements traceability when evolving and maintaining a software system? EmpSE, pp. 1–29 (2014)

    Google Scholar 

20. Mäder, P., Gotel, O., Philippow, I.: Getting back to basics: promoting the use of a traceability information model in practice. In: ICSE Workshop on Traceability in Emerging Forms of Software Engineering, TEFSE, pp. 21–25. IEEE (2009)

    Google Scholar 

21. Mäder, P., Gotel, O., Philippow, I.: Motivation matters in the traceability trenches. In: Proc. of the 17th IEEE RE conference, pp. 143–148. IEEE (2009)

    Google Scholar 

22. Marinescu, R.: Measurement and quality in object-oriented design. In: Proc. of the 21st IEEE Int. Conference on Software Maintenance, pp. 701–704. IEEE (2005)

    Google Scholar 

23. Murgia, A., Concas, G., Tonelli, R., Turnu, I.: Empirical study of software quality evolution in open source projects using agile practices. In: Proc. of the 1st International Symposium on Emerging Trends in Software Metrics, p. 11 (2009)

    Google Scholar 

24. Nagappan, N., Ball, T., Zeller, A.: Mining metrics to predict component failures. In: Proc. of the 28th Int. Conf. on Software Engineering, pp. 452–461. ACM (2006)

    Google Scholar 

25. Pfleeger, S.L., Bohner, S.A.: A framework for software maintenance metrics. In: Proc. of Software Maintenance conference, pp. 320–327. IEEE (1990)

    Google Scholar 

26. Rempel, P., Mäder, P., Kuschke, T.: An empirical study on project-specific traceability strategies. In: Proceedings of the 21st IEEE International Requirements Engineering Conference (RE), pp. 195–204. IEEE (2013)

    Google Scholar 

27. Rempel, P., Mäder, P., Kuschke, T., Cleland-Huang, J.: Mind the gap: assessing the conformance of software traceability to relevant guidelines. In: Proc. of the 36th International Conference on Software Engineering (ICSE), India (2014)

    Google Scholar 

28. Rempel, P., Mäder, P., Kuschke, T., Philippow, I.: Requirements traceability across organizational boundaries - a survey and taxonomy. In: Doerr, J., Opdahl, A.L. (eds.) REFSQ 2013. LNCS, vol. 7830, pp. 125–140. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

29. Sedigh-Ali, S., Ghafoor, A., Paul, R.A.: Software engineering metrics for cots-based systems. Computer 34(5), 44–50 (2001)

    Article  Google Scholar 

30. Sillitti, A., Ceschi, M., Russo, B., Succi, G.: Managing uncertainty in requirements: a survey in documentation-driven and agile companies. In: 11th IEEE International Symposium on Software Metrics, p. 10. IEEE (2005)

    Google Scholar 

31. Subramanyam, R., Krishnan, M.S.: Empirical analysis of ck metrics for object-oriented design complexity: Implications for software defects. IEEE Transactions on Software Engineering 29(4), 297–310 (2003)

    Article  Google Scholar 

32. Washizaki, H., Yamamoto, H., Fukazawa, Y.: A metrics suite for measuring reusability of software components. In: Proceedings of the Ninth International of Software Metrics Symposium, pp. 211–223. IEEE (2003)

    Google Scholar 

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