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An approach for estimating the time needed to perform code changes in business applications

  • Special Section on Web Systems Evolution
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Abstract

Business applications automate various business processes within an organization. Business analysts frequently modify business processes to maintain a competitive edge. Estimating the time needed to modify a business process is not a trivial task, since changes to the business process result in changes to the source code of which the business analyst has limited knowledge. We propose a change impact metric which estimates the code to be modified as a result of a business process change. We demonstrate the effectiveness of our proposed change impact metric through a case study, using seven large business applications from the OFBiz open source project.

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References

  1. Ajila S.: Software maintenance: approach to impact analysis of objects change. Softw. Pract. Experience 25(10), 1155–1181 (1995)

    Article  Google Scholar 

  2. Antoniol, G., Canfora, G., De Lucia, A.: Maintaining traceability during object-oriented software evolution: a case study. In: International Conference on Software Maintenance (ICSM) (1999)

  3. Asmild M., Paradi J.C., Kulkarni A.: Using data envelopment analysis in software development productivity measurement. Softw. Process Improv. Pract. 11, 561–572 (2006)

    Article  Google Scholar 

  4. Antoniol G., Canfora G., Casazza G., Lucia A.D., Merlo E.: Recovering traceability links between code and documentation. IEEE Trans. Softw. Eng. 28(10), 970–983 (2002)

    Article  Google Scholar 

  5. Aversano, L., Bodhuin, T., Tortorella, M. : Assessment and impact analysis for aligning business processes and software systems. In: Proceedings of ACM Symposium on Applied Computing, SAC (2005)

  6. Barros, S., Bodhuin, T., Escudie, A., Queille, J.P., Voidrot, J.F.: Supporting impact analysis: a semi-automated technique and associated tool. In: ICSM (1995)

  7. Bilal, H., Black, S.: Ripple effect: a complexity measure for object oriented software. In: European Conference on Object-Oriented Programming (2007)

  8. Black S.: Computing the ripple effect. J. Softw. Maint. Evol. Res. Pract. 13, 263–279 (2001)

    Article  MATH  Google Scholar 

  9. Bohner, S., Gracanin, D., Dong, C., George, B., Ying, J., Zhou, Y.: Software Security Impact Analysis. Goddard Space Flight Center, Advanced Architectures and Automation Branch (2002)

  10. Briand, L.C., Labiche, Y., Soccar, G.: Automating impact analysis and regression test selection. Based on UML designs. In: ICSM (2002)

  11. Briand, L.C., Labiche, Y., O’Sullivan, L.: Impact analysis and change management of UML models. In: ICSM (2003)

  12. Chan, B., Marks, L., Zou, Y.: An approach for estimating code changes in e-commerce appllications. In: International Symposium on Web Systems Evolution (2008)

  13. Chidamber S.R., Kemerer C.F.: A metrics suite for object oriented design. IEEE Trans. Softw. Eng. 20(6), 476–493 (1994)

    Article  Google Scholar 

  14. Daly, J., Brooks, A., Miller, J., Roper, M., Wood, M.: The effect of inheritance on the maintainability of object oriented software: an empirical study. In: ICSM (1995)

  15. de Boer, F.S., Bonsangue, M.M., Groenewegen, L.P.J, Stam, A.W., Stevens, S., Van Der Torre, L.: Change impact analysis of enterprise architectures. In: Information Reuse and Integration Conference (2005)

  16. De Lucia, A., Oliveto, R., Tortora, G.: Recovering traceability links using information retrieval: a controlled experiment. In: International Symposium on Grand Challenges in Traceability, pp. 46–55 (2007)

  17. Fleeger, S.L., Bohner, S.A.: A framework for software maintenance metrics. In: ICSM (1990)

  18. Graves T., Karr A., Marron J., Siy H.: Predicting fault incidence using software change history. IEEE Trans. Softw. Eng. 26(7), 653–661 (2000)

    Article  Google Scholar 

  19. Guo, J., Foo, K., Barbour, L., Zou, Y. : A business process explorer: recovering and visualizing e-commerce business processes. In: International Conference on Software Engineering (2008)

  20. Hassan, A.E., Holt, R.C.: Predicting change in propagation in software systems. In: ICSM (2004)

  21. Henry S., Kafura D.: The Evaluation of Systems’ Structure using Quantitative Metrics. McGraw-Hill International Series, pp. 99–111. McGraw-Hill, New York (1993)

    Google Scholar 

  22. Hoffman, M.A.: Automated impact analysis of object-oriented software systems. In: International Conference on Object-Oriented Programming, Systems, Languages, and Applications, pp. 72–73 (2003)

  23. Huang, M., Zou, Y.: Recovering workflows from multi tiered e-commerce systems. In: International Conference on Program Comprehension, pp. 198–207 (2007)

  24. Kagdi, H., Maletic, J.I.: Combining single version and evolutionary dependencies for software change prediction. In: International Conference on Software Engineering (2007)

  25. Lee M.: Change Impact Analysis of Object Oriented Software. George Mason University, Virginia (1998)

    Google Scholar 

  26. Lipow M.: Number of faults per line of code. IEEE Trans. SE-8(4), 437–439 (1982)

    Google Scholar 

  27. Marcus, A., Maletic, J.I.: Recovering documentation-to-source-code traceability links using latent semantic indexing. In: ICSM (2003)

  28. McCabe T., Butler C.: Design complexity measurement and testing. Commun. ACM 32(12), 1415–1425 (1989)

    Article  Google Scholar 

  29. Mendes E., Mosley N., Counsell S.: Web metrics—estimating design and authoring effort. IEEE Multimed. 8(1), 50–57 (2001)

    Article  Google Scholar 

  30. O’Neal, J., Carver, D. : Analyzing the impact of changing requirements. In: ICSM (2001)

  31. Orso, A., Apiwattanapong, T., Law, J., Rothermel, G., Harrold, M.J.: An empirical comparison of dynamic impact analysis algorithms. In: International Conference of Software Engineering, Scotland, UK (2004)

  32. Sneed, H.: Estimating the Costs of software maintenance tasks. In: ICSM (1995)

  33. Sneed, H.: Impact analysis of maintenance tasks for a distributed object-oriented system. In: ICSM (2001)

  34. Soffer P.: Scope analysis—identifying impact of changes in business process models. Softw. Process Improv. Pract. 10(4), 393–402 (2005)

    Article  MathSciNet  Google Scholar 

  35. The Apache Open for Business Project: http://www.OFBiz.org/

  36. WebSphere Business Modeler: http://www-306.ibm.com/software/integration/wbimodeler/index.html (2009). Accessed June 2009

  37. Xiao, H., Guo, J., Zou, Y.: Supporting change impact analysis for service oriented business applications. In: International Conference on Software Engineering Workshops (2007)

  38. XML Process Definition Language (XPDL): http://www.wfmc.org/standards/docs.htm#XPDL_Spec_Final (2008). Accessed April 2008

  39. Zou, Y., Lau, T.C., Kontogiannis, K., Tong, T., McKegney, R.: Model driven business process recovery. In: Working Conference on Reverse Engineering (2004)

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Queen’s University, Kingston, ON, Canada

    Brian Chan, King Chun Foo & Ying Zou

  2. School of Computing, Queen’s University, Kingston, ON, Canada

    Lionel Marks

Authors
  1. Brian Chan
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  2. King Chun Foo
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  3. Lionel Marks
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  4. Ying Zou
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Corresponding author

Correspondence to Ying Zou.

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Chan, B., Foo, K.C., Marks, L. et al. An approach for estimating the time needed to perform code changes in business applications. Int J Softw Tools Technol Transfer 11, 503–515 (2009). https://doi.org/10.1007/s10009-009-0122-5

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  • DOI: https://doi.org/10.1007/s10009-009-0122-5

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