A β-distributed stochastic petri net model for software project time/cost management

Lee, Gang-soo; Murata, Tadao

doi:10.1016/0164-1212(94)90085-x

Cited by 13 publications

(5 citation statements)

References 15 publications

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“…Conceptual model CM Non-mathematical models and frameworks intended to support project management [33,34] Descriptive conclusions DC Local descriptive observations about software project management not generalisable to theory [31,35] Descriptive theory DT Theory descriptive of software project management [36,37] Literature summary LS Literature analysis [38] Prescriptive conclusions PC Non-theoretical conclusions about how software project management should be conducted [16,39] Predictive theory: causal model PTC American MIS style survey-based model of dependent and independent variables [20,40] Mathematical model MM Mathematical or algorithmic models intended to support software project management [41,42] Software system SS Software tool (often a simulation) intended to support software project management (or SPM education) [43,44] Technique comparison TC Comparison of techniques in a particular area of software project management (e.g. estimation) [ …”

Section: Research Outcome/product Description Examplesmentioning

confidence: 99%

Management competences, not tools and techniques: A grounded examination of software project management at WM-data

Rose

Pedersen

Hosbond

et al. 2007

Information and Software Technology

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Section: Research Outcome/product Description Examplesmentioning

confidence: 99%

Management competences, not tools and techniques: A grounded examination of software project management at WM-data

Rose

Pedersen

Hosbond

et al. 2007

Information and Software Technology

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“…Software project modeling has been an interesting area for researchers since 1950 s onwards. Traditional-models such as Work Breakdown Structure, Gantt Model, Critical Path Method (CPM) Model, PERT Model, AND-OR Graph Model, Petri Net Model, Stochastic Petri net-based Model, Design Net Model [19,20] are used to support the operational issues. The Metrix model is a stochastic model for software project duration estimation using Monte Carlo simulation over an activity graph [32].…”

Section: Related Workmentioning

confidence: 99%

“…Software project state transition equation Equations (16) and (19) are used to track the status of software project in execution-space. The state space models for software project tracking in plan-space and execution-space differs with epistemological uncertainty represented by random variables e p and e u related to team-capability P and remaining-requirements RR, respectively.…”

Section: Traditional and Hybrid Software Project Tracking Technique Fmentioning

confidence: 99%

“…There has been considerable research conducted on improving the effectiveness of project management. However, much of the work has concentrated on developing and evaluating estimation and control tools used for software projects [4,20], as opposed to model the software projects with uncertainty [17][18][19][20][21][22][23] for tracking. Software project combines application domain knowledge, computer science, statistics, behavioral science, and human factor issues.…”

Section: Introductionmentioning

confidence: 99%

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Traditional and hybrid software project tracking technique formulation: state space approach with initial state uncertainty

Tyagi

Munisamy²,

Reddy

2014

CSIT

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Software projects are required to be tracked during their execution for controlling them. According to state-space approach, the tracking technique consists of software project state transition equation and software project status measurement equation. A key factor in tracking software projects is to represent the project with uncertainty involved in the parameters. Traditional and hybrid software project tracking technique is designed with state space approach and simulated using discrete event simulation in plan-space and execution-space. The uncertainty considered here is epistemological and is modeled as a normal distribution using an approximation method. The initial state of the project in execution-space also has an uncertainty associated with it. The project tracking technique consists of project state transition equation and project status measurement equation, in plan-space and is formulated with Monte Carlo method in execution-space. The project status is derived using project measurement equation as a function of project state. The project state is derived using project state transition equation. The software product is developed iteratively and incrementally. With Monte Carlo simulation runs, simulation result shows the uncertainty propagation iteration-wise, both individually and totally; and the effect of uncertainty on project status is shown by showing project status in execution-space and plan-space. Besides, the project completion somewhere during the last iteration is shown with simulation.

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“…In particular, Petri nets are a powerful tool for modeling and analysing discrete event systems and can be used to evaluate the software development process. Lee and Murata proposed a β ‐distributed stochastic Petri net model for software project management (Lee & Murata, 1994). This model is an integration of the program evaluation and review technique and a Petri net, and is suitable for dealing with the uncertainty and concurrency problems of large software projects.…”

Section: Introductionmentioning

confidence: 99%

Modeling uncertainties involved with software development with a stochastic Petri net

Wang

Sun

et al. 2006

Expert Systems

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Due to the rapid growth of the IT industry as well as the high failure rate of software development projects, it is highly desirable to develop a qualitative approach for dealing with uncertainties in the software development process. In order to manage risk and uncertainty, a software project uncertainty management approach based on a generalized stochastic Petri net is proposed. It consists of two main components: model building based on a Petri net and a Markov process algorithm. The technique is presented with an example. Finally, the proposed model is demonstrated with a real-world case.

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A β-distributed stochastic petri net model for software project time/cost management

Cited by 13 publications

References 15 publications

Management competences, not tools and techniques: A grounded examination of software project management at WM-data

Management competences, not tools and techniques: A grounded examination of software project management at WM-data

Traditional and hybrid software project tracking technique formulation: state space approach with initial state uncertainty

Modeling uncertainties involved with software development with a stochastic Petri net

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