A Vague Rule Based Analysis Model for Software Risk and Quality Evaluation

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Published: Jun 22, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i5.3348
Keywords:
Risk Quality, Vague Rule, Software Metrics, Process Metrics

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Kavita Dahiya
Computer Science and Application Department MDU, Rohtak
Dr. Priti

Abstract

A software system is defined large number of modules and integrated components. While developing a software system, it is required to analyze the risk factor or the expected quality at the planning stage. At this stage, the requirement and expectation based mapping can be obtained to identify the risk and the quality. These measures directly represent the chances of system failure, cost of project, delay of project etc. In this research, multiple aspect based software quality estimation is provided. These multiple aspects include the entity specific, procedural, resource specific and the object specific. The paper has defined a vague formulated risk evaluation model with multiple associated stages. At the earlier stage, the risk categorization is provided. Later on, the vague based individual aspect risk and the category specific aggregative risk evaluation is provided. In this paper, the risk estimation measure is applied on Cocomo NASA 2 projects datasets. The result shows that the model provided effective evaluation of software projects.

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Vol. 8 No. 5 (2017): May-June 2017
Section
Articles

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Author Biography

Kavita Dahiya, Computer Science and Application Department MDU, Rohtak

Research Scholar

References

Reham Ejaz," A Quality Assurance Model for Analysis Phase", NSEC’10, 04-OCT-2010, Rawalpindi, Pakistan ACM 978-1-4503-0026-1/10/10

Philip Koopman," Risk Areas In Embedded Software Industry Projects", WESE’10, October 24, 2010, Scottsdale, AZ, USA. ACM 1-58113-000-0/00/0010

Victor R. Basili," Obtaining Valid Safety Data for Software Safety Measurement and Process Improvement", ESEM’10, September 16–17, 2010, Bolzano-Bozen, Italy. ACM 978-1-4503-0039-01/10/09

Emad Shihab," An Industrial Study on the Risk of Software Changes", SIGSOFT’12/FSE-20, November 11–16, 2012, Cary, North Carolina, USA. ACM 978-1-4503-1614-9/12/11

G. Antoniol," Requiem for software evolution research: a few steps toward the creative age", IWPSE'07, September 3-4, 2007, Dubrovnik, Croatia. Copyright 2007 ACM ISBN 978-1-59593-722-3/07/09

Piotr Tomaszewski," Comparing the Fault-Proneness of New and Modified Code — An Industrial Case Study", ISESE’06, September 21–22, 2006, Rio de Janeiro, Brazil. ACM 1-59593-218-6/06/0009

Shareeful Islam," Software Development Risk Management Model – A Goal Driven Approach", ESEC/FSE Doctoral Symposium’09, Aug. 25, 2009, Amsterdam, The Netherlands. ACM 978-1-60558-731-8/09/08.

Darko Durisic," Measuring the Size of Changes in Automotive Software Systems and their Impact on Product Quality".

Tokuro Matsuo," Diversification of Risk based on Divided Tasks in Large-scale Software System Manufacture", June 12, 2007. San Diego, California, US ACM 978-1-59593-856-5/07/06

Shareeful Islam," Human Factors in Software Security Risk Management", LMSA’08, May 11, 2008, Leipzig, Germany. ACM 978-1-60558-027-9/08/05

Qi Li," A Value-Based Review Process for Prioritizing Artifacts", ICSSP’11, May 21–22, 2011, Waikiki, Honolulu, HI, USA ACM 978-1-4503-0730-7/11/05

Kohl Witmer," A Method for Risk Mitigation During the Requirements Phase for Multimedia Software Systems", SIGDOC'06, October 18–20, 2006, Myrtle Beach, South Carolina, USA. ACM 1-59593-523-1/06/0010

Idongesit Mkpong-Ruffin," Quantitative Software Security Risk Assessment Model", QoP’07, October 29, 2007, Alexandria, Virginia, USA. ACM 978-1-59593-885-5/07/0010

John Dhlamini," Intelligent Risk Management Tools for Software Development", SACLA ’09, 29 June - 1 July, Mpekweni Beach Resort, South Africa ACM 978-1-60558-683-0/09/07

Lucas Layman," Mining Software Effort Data: Preliminary Analysis of Visual Studio Team System Data", MSR’08, May 10–11, 2008, Leipzig, Germany. ACM 978-1-60558-024-1/08/05