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QualitySpy: a framework for monitoring software development processes

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The growing popularity of highly iterative, agile processes creates increasing need for automated monitoring of the quality of software artifacts, which would be focused on short terms (in the case of eXtreme Programming process iteration can be limited to one week). This paper presents a framework that calculates software metrics and cooperates with development tools (e.g. source version control system and issue tracking system) to describe current state of a software project with regard to its quality. The framework is designed to support high level of automation of data collection and to be useful for researchers as well as for industry. The framework is currently being developed hence the paper reports already implemented features as well as future plans. The first release is scheduled for July.
Rocznik
Strony
35--45
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
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autor
autor
Bibliografia
  • [1] Bansiya J. and Davis C.G. A Hierarchical Model for Object-Oriented Design Quality Assessment. IEEE Transactions on Software Engineering, No 1(28), 2002, 4-17.
  • [2] Chidamber S. and Kemerer C.. A metrics suite for object oriented design. Software Engineering, IEEE Transactions on. No 20(6), 1994, 476–493.
  • [3] D'Ambros M., Lanza M., Pinzger M. "A Bug's Life" Visualizing a Bug Database, 4th IEEE International Workshop on Visualizing Software for Understanding and Analysis, 2007, 113-120.
  • [4] Fenton N. and Neil M. Software Metrics: Successes, Failures and New Directions. Journal of Systems and Software, No 47(2-3), 1999, 149-157.
  • [5] Fenton N., Neil M., Marsh W., Hearty P., Radliński Ł and Krause P. Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction. Proceedings of the 29th International Conference on Software Engineering Workshops. 2007.
  • [6] Fischer M., Pinzger M. and Gall H. Populating a Release History Database from Version Control and Bug Tracking Systems. International Conference on Software Maintenance (ICSM '03). Washington, DC, USA, 2003.
  • [7] Fischer M., Pinzger M. and Gall H. Analyzing and Relating Bug Report Data for Feature Tracking. 10th Working Conference on Reverse Engineering (WCRE '03). Washington, DC, USA, 2003.
  • [8] German D.M. Mining CVS repositories, the softChange experience. IEE Seminar Digest. No 917. 2004. 17-21.
  • [9] Giger E., Pinzger M, and Gall H. Using the gini coefficient for bug prediction in eclipse. 12th International Workshop on Principles of Software Evolution and the 7th annual ERCIM Workshop on Software Evolution (IWPSE-EVOL '11). New York, USA, 2011.
  • [10] Illes-Seifert T. and Paech B. Exploring the relationship of a file's history and its faultproneness: An empirical method and its application to open source programs. Information and Software Technology. No 52(5), 2010, 539-558.
  • [11] Jureczko M. Significance of Different Software Metrics in Defect Prediction. Software Engineeering: An International Journal. No 1(1), 2011, 86-95.
  • [12] Jureczko M. and Madeyski L. Towards identifying software project clusters with regard to defect prediction. Sixth International Conference on Predictive Models in Software Engineering, Timisoara, Romania, September 12-13, 2010.
  • [13] Jureczko M. and Spinellis D. Using object-oriented design metrics to predict software defects. Fifth International Conference on Dependability and Complex Systems Dep-CoS-RELCOMEX 2010. s. 69-81.
  • [14] Tang M.-H., Kao M.-H. and Chen M.-H. An Empirical Study on Object-Oriented Metrics. Sixth IEEE International Symposium on Software Metrics. 1999.
  • [15] Weiss C., Premraj R., Zimmermann T., and Zeller A. How Long Will It Take to Fix This Bug? Proceedings of the 4th International Workshop on Mining Software Repositories. 2007.
  • [16] Zimmermann T. and WeiBgerber P. Preprocessing CVS data for fine-grained analysis. IEE Seminar Digests. No 917. 2004. 2-6.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPS3-0025-0113
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