An integrated risk measurement and optimization model for trustworthy software process management

Information Sciences

Volumn 191, Issue , 2012, Pages 47-60

  Li, Jianping ^a   Li, Minglu ^a,b   Wu, Dengsheng ^a,c   Song, Hao ^a,c  

^a Chinese Academy of Sciences   (China)

^b NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA   (China)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Bayesian network learning; Process risk measurement; Risk control optimization; Risk integration; Trustworthy software

Indexed keywords

BAYESIAN NETWORK LEARNING; CALCULATION METHODS; COST CONTROLS; GROWING DEMAND; HIGH-QUALITY SOFTWARE; INTEGRATED RISKS; MANAGEMENT EFFECTIVENESS; MANAGEMENT SCHEME; MEASUREMENT MODEL; MODEL FRAMEWORK; OPTIMAL STRATEGIES; OPTIMIZATION MODELS; PROCESS COSTS; PROCESS MODEL; PROCESS RISK MEASUREMENT; PROJECT COST; RISK CONTROL OPTIMIZATION; RISK OPTIMIZATION; RISK TRANSFER; SOFTWARE DEVELOPER; SOFTWARE INDUSTRY; SOFTWARE PROCESS; SOFTWARE PROCESS MODELS; TRUSTWORTHY SOFTWARES;

BAYESIAN NETWORKS; COMPUTER SIMULATION; MATHEMATICAL MODELS; OPTIMIZATION; RISK MANAGEMENT; RISK PERCEPTION; SOFTWARE DESIGN;

RISK ASSESSMENT;

EID: 84857564432     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2011.09.040     Document Type: Article

References (52)

1. G. Axel Assessment of programmable systems using Bayesian belief nets Safety Science 40 2002 797 812
2. G.N. Büyüközkan, and D. Ruan Choquet integral based aggregation approach to software development risk assessment Information Sciences 180 2010 441 451
3. P.L. Bannerman Risk and risk management in software projects: a reassessment Journal of Systems and Software 81 2008 2118 2133
4. I. Ben-Gal Bayesian networks F. Ruggeri, F. Faltin, R. Kenett, Encyclopedia of Statistics in Quality & Reliability 2007 Wiley & Sons
5. L. Bernstein Trustworthy software systems ACM SIGSOFT Software Engineering Notes 30 2005 4 5
6. V. Bevilacqua, G. Mastronardi, F. Menolascina, P. Pannarale, and G. Romanazzi Bayesian gene regulatory network inference optimization by means of genetic algorithms Journal of Universal Computer Science 15 2009 826 839
7. B. Boehm The future of software processes Unifying the Software Process Spectrum Lecture Notes Computer Science 2006 Springer 10 24 (Pubitemid 43900660)
8. C.L. Chee, V. Vij, C.V. Ramamoorthy, Using influence diagrams for software risk analysis, in: Proceedings of Seventh International Conference on Tools with Artificial Intelligence, 1995, pp. 128-131.
9. CMU/SEI, Capability maturity model integration (CMMI) Version 1.1 for Software Engineering, Software Engineering Institute, Carnegie Mellon, Pittsburgh, PA, 2002.
10. N. Davis, W. Humphrey, S.T. Redwine Jr., G. Zibulski, and G. McGraw Processes for producing secure software IEEE Security & Privacy 2 2004 18 25
11. A.C.V. de Melo, and A.J. Sanchez Software maintenance project delays prediction using Bayesian Networks Expert Systems with Applications 34 2008 908 919 (Pubitemid 350123699)
12. Eitel J.M. Lauria, and P.J. Duchessi A methodology for developing Bayesian networks: an application to information technology (IT) implementation European Journal of Operational Research 179 2007 234 252 (Pubitemid 44809554)
13. N. Fenton, P. Hearty, M. Neil, L. Radlinski, Software project and quality modelling using Bayesian networks, in: F. Meziane, S. Vadera (Eds.), Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects, Information Science Reference, 2010, pp. 1-25.
14. N. Fenton, W. Marsh, M. Neil, P. Cates, S. Forey, and M. Tailor Making resource decisions for software projects Proceedings of the 26th International Conference on Software Engineering 2004 IEEE Computer Society 397 406
15. N. Fenton, M. Neil, W. Marsh, P. Hearty, D. Marquez, P. Krause, and R. Mishra Predicting software defects in varying development lifecycles using Bayesian nets Information and Software Technology 49 2007 32 43 (Pubitemid 46053772)
16. N. Fenton, M. Neil, W. Marsh, P. Hearty, L. Radlinski, P. Krause, Project data incorporating qualitative facts for improved software defect prediction, in: Third International Workshop on Predictor Models in Software Engineering (PROMISE'07, ICSE Workshops), IEEE CS, 2007, p. 2.
17. N.E. Fenton, and M. Neil Software metrics: roadmap Proceedings of the Conference on The Future of Software Engineering 2000 ACM Limerick, Ireland 357 370
18. V.J. Finn, and D.N. Thomas Bayesian Networks and Decision Graphs 2007 Springer
19. F. García, M. Serrano, J. Cruz-Lemus, F. Ruiz, and M. Piattini Managing software process measurement: a metamodel-based approach Information Sciences 177 2007 2570 2586 (Pubitemid 46541687)
20. The National Software Strategy Steering Group, Software 2015: a National Software Strategy to Ensure U.S. Security and Competitiveness, 2005.
21. L. Huang, and B. Boehm How much software quality investment is enough: a value-based approach IEEE Software 23 2006 88 95 (Pubitemid 46405207)
22. J.J. Jiang, G. Klein, and T.S. Ellis A measure of software development risk Project Management Journal 33 2002 30 41
23. T.M. Khoshgoftaar, Y. Xiao, K. Gao, Software quality assessment using a multi-strategy classifier, Information Sciences, (2011), doi:10.1016/j.ins.2010. 1011.1028.
24. R.J. Kohl, Trustworthy software, in: Proceedings of the Center for National Software Studies Workshop on Trustworthy Software, Monterey, California, 2004, p. 24.
25. G. Kou, Y. Peng, Z. Chen, and Y. Shi Multiple criteria mathematical programming for multi-class classification and application in network intrusion detection Information Sciences 179 2009 371 381
26. H. Langseth, and L. Portinale Bayesian networks in reliability Reliability Engineering & System Safety 92 2007 92 108 (Pubitemid 44332140)
27. H.-M. Lee Applying fuzzy set theory to evaluate the rate of aggregative risk in software development Fuzzy Sets and Systems 79 1996 323 336 (Pubitemid 126667415)
28. H.-M. Lee, S.-Y. Lee, T.-Y. Lee, and J.-J. Chen A new algorithm for applying fuzzy set theory to evaluate the rate of aggregative risk in software development Information Sciences 153 2003 177 197
29. J. Li, M. Li, H. Song, D. Wu, A multi-criteria risk optimization model for trustworthy software process management, in: Cutting-Edge Research Topics on Multiple Criteria Decision Making, CCIS, Springer, 2009, pp. 535-539.
30. M. Li, J. Li, H. Song, D. Wu, Risk management in the trustworthy software process: a novel risk and trustworthiness measurement model framework, in: Fifth International Joint Conference on INC, IMS and IDC, IEEE Press, 2009, pp. 214-219.
31. S. Mahmood, R. Lai, Y. Soo Kim, J. Hong Kim, S. Cheon Park, and H. Suk Oh A survey of component based system quality assurance and assessment Information and Software Technology 47 2005 693 707 (Pubitemid 40893581)
32. D. Marquez, M. Neil, and N. Fenton Improved reliability modeling using Bayesian networks and dynamic discretization Reliability Engineering & System Safety 95 2010 412 425
33. J. McLean Trustworthy Software: Why we need it, Why we do not have it, How we can get it? 30th Annual International Computer Software and Applications Conference 2006 IEEE Press 32 33 (Pubitemid 46661621)
34. R.M. Neal, Probabilistic inference using Markov Chain Monte Carlo methods, in: Technical Report CRG-TR-93-1, 1993.
35. M. Neil, M. Tailor, D. Marquez, N. Fenton, and P. Hearty Modelling dependable systems using hybrid Bayesian networks Reliability Engineering & System Safety 93 2008 933 939 (Pubitemid 351305183)
36. A. Parikh, Trustworthy Software, Thesis for M.S., Stevens Institute of Technology, Hoboken, New York, 2004.
37. B.-J. Park, S.-K. Oh, W. Pedrycz, The design of polynomial function-based neural network predictors for detection of software defects, Information Sciences, (2011), doi:10.1016/j.ins.2011.1001.1026.
38. J. Pearl Influence diagrams-historical and personal perspectives Decision Analysis 2 2005 232 234
39. J. Pearl Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference 1988 Morgan Kaufman San Mateo, CA, US
40. Y. Peng, G. Wang, and H. Wang User preferences based software defect detection algorithms selection using MCDM Information Sciences 191 2011 3 13
41. T.-S. Quah Estimating software readiness using predictive models Information Sciences 179 2009 430 445
42. J. Reynaldo, and A. Santos Cronbach's alpha: a tool for assessing the reliability of scales Journal of Extension 37 1999 2 3
43. K. Saleh, M. Habil, The Security Requirements Behavior Model for Trustworthy Software, in: 2008 International MCETECH Conference on e-Technologies, 2008, pp. 235-238.
44. C. Seiffert, T.M. Khoshgoftaar, J. Van Hulse, A. Folleco, An empirical study of the classification performance of learners on imbalanced and noisy software quality data, Information Sciences, (2011), doi:10.1016/j.ins.2010. 1012.1016.
45. L. Seok Won, A.G. Robin, and A. Gail-Joon Establishing trustworthiness in services of the critical infrastructure through certification and accreditation Proceedings of the 2005 workshop on Software engineering for secure systems & building trustworthy applications 2005 ACM St. Louis, Missouri
46. M. Staron, W. Meding, and C. Nilsson A framework for developing measurement systems and its industrial evaluation Information and Software Technology 51 2009 721 737
47. B. Steffen, H. Wilhelm, P. Alexandra, B. Marko, K. Heiko, P. Jan, D. Abhishek, L. Henrik, R. Matthias, W. Daniel, G. Simon, M. Roland, S. Mani, H. Jens, M. Margarete, and W. Timo Trustworthy software systems: a discussion of basic concepts and terminology ACM SIGSOFT Software Engineering Notes 31 2006 1 18
48. D. Vose Risk Analysis: A Quantitative Guide third ed. 2008 Wiley
49. S. Wagner, A Bayesian network approach to assess and predict software quality using activity-based quality models, in: Proceedings of the 5th International Conference on Predictor Models in Software Engineering, ACM, Vancouver, British Columbia, Canada, 2009, pp. 1-9.
50. H. Wilhelm, and R. Ralf Toward trustworthy software systems Computer 39 2006 91 92
51. Y. Yang, Q. Wang, and M. Li Process trustworthiness as a capability indicator for measuring and improving software trustworthiness Trustworthy Software Development Processes, LNCS 2009 Springer 389 401
52. M.-X. Zhu, X.-X. Luo, X.-H. Chen, D.D. Wu, A non-functional requirements tradeoff model in Trustworthy Software, Information Sciences, (2011), doi:10.1016/j.ins.2011.1007.1046.