Fuzzy Cognitive Map based Prediction Tool for Schedule Overrun

1
Atul Kumar
Atul Kumar
2
Dalwinder Singh Salaria
Dalwinder Singh Salaria
3
Dr. R.C.Gangwar
Dr. R.C.Gangwar
1 Lovely Professional University

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The main aim of any software development organizations is to finish the project within acceptable or customary schedule and budget. Software schedule overrun is one of a question that needs more concentration. Schedule overrun may affect the whole project success like cost, quality and increases risks. Schedule overrun can be reason of project failure. In today’s competitive world, controlling the schedule slippage of software project development is a challenging task. Effective handling of schedule is an essential need for any software project organization. The main tasks for software development estimation are determining the effort, cost and schedule of developing the project under consideration. Underestimation of project done knowingly just to win contract results into loses and also the poor quality project. So, precise schedule prediction leads to efficient control of time and budget during software development. In this paper, we developed a new technique for the prediction of schedule overrun. This paper also presents the comparison with other algorithms of schedule estimation and Tool developed by us and at last proved that Fuzzy cognitive map based prediction tool gives more accurate results than other training algorithms.

12 Cites in Articles

References

  1. Abdullah Al-Shehab,T Robert,Graham Hughes,Winstanley (2005). Modelling risks in IS/IT projects through causal and cognitive mapping.
  2. Brooks,P Frederick (2011). The Mythical Man-Month, Electronic Commerce (AIMSEC).
  3. Bart Kosko (1986). Fuzzy cognitive maps.
  4. Sanja Lazarova-Molnar,Rabeb Mizouni (2011). A simulation-based approach to enhancing project schedules by the inclusion of remedial action scenarios.
  5. Elpiniki Papageorgiou,Jose Salmeron (2011). A Review of Fuzzy Cognitive Maps Research during the last decade.
  6. Elpiniki Papageorgiou,Jose Salmeron (2013). A Review of Fuzzy Cognitive Maps Research During the Last Decade.
  7. Kimberly Reichelt,James Lyneis (1999). The dynamics of project performance: benchmarking the drivers of cost and schedule overrun.
  8. Jose Salmeron (2010). Fuzzy Cognitive Maps-Based IT Projects Risks Scenarios.
  9. Constantinos Stylianou,S Gerasimou,A Andreou (2012). A Novel Prototype Tool for Intelligent Software Project Scheduling and Staffing Enhanced with Personality Factors.
  10. Van Genuchten,Michiel (1991). Why is software late? An empirical study of reasons for delay in software development.
  11. Xiaoxu Wang,Chaoying Wu,Lin Ma (2010). Software project schedule variance prediction using Bayesian Network.
  12. Jing Xiao,Xian-Ting Ao,Yong Tang (2013). Solving software project scheduling problems with ant colony optimization.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Atul Kumar. 2014. \u201cFuzzy Cognitive Map based Prediction Tool for Schedule Overrun\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C4): .

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GJCST Volume 14 Issue C4
Pg. 21- 28
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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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July 5, 2014

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The main aim of any software development organizations is to finish the project within acceptable or customary schedule and budget. Software schedule overrun is one of a question that needs more concentration. Schedule overrun may affect the whole project success like cost, quality and increases risks. Schedule overrun can be reason of project failure. In today’s competitive world, controlling the schedule slippage of software project development is a challenging task. Effective handling of schedule is an essential need for any software project organization. The main tasks for software development estimation are determining the effort, cost and schedule of developing the project under consideration. Underestimation of project done knowingly just to win contract results into loses and also the poor quality project. So, precise schedule prediction leads to efficient control of time and budget during software development. In this paper, we developed a new technique for the prediction of schedule overrun. This paper also presents the comparison with other algorithms of schedule estimation and Tool developed by us and at last proved that Fuzzy cognitive map based prediction tool gives more accurate results than other training algorithms.

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Fuzzy Cognitive Map based Prediction Tool for Schedule Overrun

Atul Kumar
Atul Kumar Lovely Professional University
Dalwinder Singh Salaria
Dalwinder Singh Salaria
Dr. R.C.Gangwar
Dr. R.C.Gangwar

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