Design-Stage Prediction of Project Correctness or Incorrectness
- 1 Faculty of Science and Engineering, HOSEI University, Tokyo, Japan
Abstract
The success of a software development project requires the early objective determination of the project’s correctness or incorrectness and the identification of the most effective solution for project management. However, few studies have been conducted on the reliable quantitative early judgment of correctness or incorrectness. In recent years, the collection and accumulation of actual attribute data from Japanese domestic software development projects have been conducted by the Software Engineering Centre of the Information-Technology Promotion Agency of Japan. In a previous article, we proposed a precise definition of project correctness or incorrectness and identified the important factors in successful projects; we also proposed a quantitative decision-making method for judging project correctness or incorrectness objectively and quantitatively on the basis of discriminant analysis using project completion attribute data. On the basis of the previous results, we propose a quantitative decision-making technique for the early judging of project correctness or incorrectness based on the attribute data of design stage as early stage of development.
- Atkinson, R. (1999) Project Management: Cost, Time and Quality, Two Best Guesses and a Phenomenon, It’s Time to Accept Other Success Criteria. International Journal of Project Management, 17, 337-342. https://doi.org/10.1016/S0263-7863(98)00069-6
- Cooke-Davies, T. (2002) The “Real” Success factors on Project. International Journal of Project Management, 20, 185-190. https://doi.org/10.1016/S0263-7863(01)00067-9
- McLeod, L., Doolin, B. and MacDonell, S.G. (2012) A Perspective-Based Understanding of Project Success. Project Management Journal, 43, 68-86.
- Kirkland, E.C. (2012) Project Success: Critical Factors and Behaviours. Project Management Journal, 43, 84.
- Turner, R. and Zolin, R. (2012) Forecasting Success on Large Projects Developing Reliable Scales to Predict Multiple Perspectives by Multiple Stakeholders over Multiple Time Frames. Project Management Journal, 43, 87-99.
- Serrador, P. and Turner, R. (2015) The Relationship between Project Success and Project Efficiency. Project Management Journal, 46, 30-39.
- Williams, T. (2016) Identifying Success Factors in Construction Projects: A Case Study. Project Management Journal, 47, 97-112.
- Esaki, E. and Takahashi, M. (1999) A Model for Program Error Prediction Based on Testing Characteristics and Its Evaluation. International Journal of Reliability, Quality and Safety, Engineering, 6, 7-18. https://doi.org/10.1142/S0218539399000036
- Esaki, K., Yamada, S. and takahashi, M. (2001) A Software Reliability Prediction Model Based on Software Reviewing Process Characteristics and Its Evaluation. Journal of Society of Project Management, 3, 27-32.
- IPA/SEC (2014) Software Engineering Center of the Information-Technology Promotion Agency Japan. Software High-Reliability Center, IPA/SEC White Paper 2014 on Software Development Project in Japan.
- Esaki, E., Kuwahara, E. and Sagae, T. (2015) Development of Decision Making Method to Success of Software Development Project Based on the Discriminant Analysis. Handbook on Economics, Finance and Management Outlooks, 3, 47-53.
- Esaki, E., Kuwahara, E. and Sagae, T. (2015) Comparison between Decision Making Method for Correctness or Incorrectness of Software Development Project. International Journal of Management and Sustainability, 4, 237-247.