Evaluation of quantitative and mining techniques for reducing software maintenance risks

Applied Mathematical Sciences

Volumn 8, Issue 109-112, 2014, Pages 5533-5542

  Elzamly, Abdelrafe ^a,b   Hussin, Burairah ^a  

^a UNIVERSITI TEKNIKAL MALAYSIA MELAKA   (Malaysia)

^b AL AQSA UNIVERSITY   (Palestine)

Author keywords

Mining techniques; MMRE; Pred (l); Quantitative techniques; Software maintenance project; Software risk management

Indexed keywords

EID: 84908007873     PISSN: 1312885X     EISSN: 13147552     Source Type: Journal    
DOI: 10.12988/ams.2014.43206     Document Type: Article

References (21)

1. S. Basha and D. P, "Analysis of Empirical Software Effort Estimation Models," Int. J. Comput. Sci. Inf. Secur., vol. 7, no. 3, pp. 68-77, 2010.
2. Y. Chen and C. Weng, "Mining fuzzy association rules from questionnaire data," Knowledge-Based Syst., vol. 22, no. 1, pp. 46-56, Jan. 2009.
3. R. Dom, B. Abidin, S. Kareem, S. Ismail, and N. Daud, "Determining the Critical Success Factors of Oral Cancer Susceptibility Prediction in Malaysia Using Fuzzy Models," Sains Malaysiana, vol. 41, no. 5, pp. 633- 640, 2012.
4. A. Elzamly and B. Hussin, "Managing Software Project Risks with Proposed Regression Model Techniques and Effect Size Technique," Int. Rev. Comput. Softw., vol. 6, no. 2, pp. 250-263, 2011.
5. A. Elzamly and B. Hussin, "Managing Software Project Risks (Implementation Phase) with Proposed Stepwise Regression Analysis Techniques," Int. J. Inf. Technol., vol. 1, no. 4, pp. 300-312, 2013.
6. A. Elzamly and B. Hussin, "Managing Software Project Risks (Design Phase) with Proposed Fuzzy Regression Analysis Techniques with Fuzzy Concepts," Int. Rev. Comput. Softw., vol. 8, no. 11, pp. 2601-2613, 2013.
7. A. Elzamly and B. Hussin, "Identifying and Managing Software Project Risks With Proposed Fuzzy Regression Analysis Techniques: Maintenance Phase," in Conference on Management and Engineering (CME2014), 2014, p. 1868-1881.
8. A. Elzamly and B. Hussin, "Managing Software Project Risks (Planning Phase) with Proposed Fuzzy Regression Analysis Techniques with Fuzzy Concepts," Int. J. Inf. Comput. Sci., vol. 3, no. 2, pp. 31-40, 2014.
9. A. Elzamly and B. Hussin, "Estimating Quality-Affecting Risks in Software Projects," Int. Manag. Rev. Am. Sch. Press, vol. 7, no. 2, pp. 66- 83, 2011.
10. A. Elzamly and B. Hussin, "An Enhancement of Framework Software Risk Management Methodology for Successful Software Development," J. Theor. Appl. Inf. Technol., vol. 62, no. 2, pp. 410-423, 2014.
11. X. Gu, G. Song, and L. Xiao, "Design of a Fuzzy Decision-making Model and Its Application to Software Functional Size Measurement," in International Conference on Computational Intelligence for Modelling Control and Automation, and International Conference on Intelligent Agents,Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), 2006, pp. 199-205.
12. J. Hoffer, J. George, and J. Valacich, Modern Systems Analysis and Design, 6th ed. Prentice Hall, 2011, p. 575.
13. X. Jin and X. Xu, "Rmote sensing of leaf water content for winter wheat using grey relational analysis (GRA), stepwise regression method (SRM) and partial least squares (PLS)," in First International Conference on Agro- Geoinformatics (Agro-Geoinformatics), 2012, pp. 1-5.
14. V. Marza and M. Seyyedi, "Fuzzy Multiple Regression Model for Estimating Software Development Time," vol. 1, no. 2, pp. 31-34, 2009.
15. J. Miler, "A Method of Software Project Risk Identification and Analysis," Gdansk University of Technology, 2005.
16. J. Miler and J. Górski, "Supporting Team Risk Management in Software Procurement and Development Projects," in 4th National Conference on Software Engineering, 2002, pp. 1-15.
17. C. Popescu and M. Giuclea, "A model of multiple linear regression," Publ. house Rom. Acad., vol. 8, no. 2, pp. 1-8, 2007.
18. L. Rui-ge and W. Bing-rong, "The Correlation Influence Factors Analysis in the Initial dosage of Insulin Therapy of Diabetes," in Second International Conference on Mechanic Automation and Control Engineering (MACE), 2011, pp. 774-777.
19. P. Sentas, L. Angelis, and I. Stamelos, "Multinomial Logistic Regression Applied on Software Productivity Prediction," in 9th Panhellenic conference in informatics., 2003, pp. 1-12.
20. J. Sodhi and P. Sodhi, IT Project Management Handbook. Management Concepts, 2001, p. 264.
21. N. Zhou, J. Pierre, and D. Trudnowski, "A Stepwise Regression Method for Estimating Dominant Electromechanical Modes," IEEE Trans. Power Syst., vol. 27, no. 2, pp. 1051-1059, 2012