4 research outputs found

    Software Project Duration Estimation Using Metrix Model

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    This paper analyzes the existing types of duration estimation models for software projects and advances a new, user-friendly model for project duration estimation. The Metrix model is a stochastic model for software project duration estimation using Monte Carlo simulation over an activity graph. The first advantage of using the Metrix model is that it produces a probability distribution of the software project duration and not a single estimate for duration. Further to this approach, we diminish the project uncertainty by giving the manager better control over the project duration and the associated probability of a certain duration outcome. The second advantage of the Metrix model is that for Monte Carlo simulation it relies upon the historic duration estimation of the team members and not on probability distribution functions which are rather difficult to come with. JEL classification: L86 computer software, O22 project analysis.Software project duration estimation, Monte Carlo simulation, Metrix model.

    IT & C Projects Duration Assessment Based on Audit and Software Reengineering

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    This paper analyses the effect of applying the core elements of software engineering and reengineering, probabilistic simulations and system development auditing to software development projects. Our main focus is reducing software development project duration. Due to the fast changing economy, the need for efficiency and productivity is greater than ever. Optimal allocation of resources has proved to be the main element contributing to an increase in efficiency.Reengineering, audit, project duration assessment, Monte Carlo simulation

    Software Project Duration Estimation Using Metrix Model

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    This paper analyzes the existing types of duration estimation models for software projects and advances a new, user-friendly model for project duration estimation. The Metrix model is a stochastic model for software project duration estimation using Monte Carlo simulation over an activity graph. The first advantage of using the Metrix model is that it produces a probability distribution of the software project duration and not a single estimate for duration. Further to this approach, we diminish the project uncertainty by giving the manager better control over the project duration and the associated probability of a certain duration outcome. The second advantage of the Metrix model is that for Monte Carlo simulation it relies upon the historic duration estimation of the team members and not on probability distribution functions which are rather difficult to come with. JEL classification: L86 computer software, O22 project analysis
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