Towards an adaptable large scale project execution monitoring

Stanciu, Ciprian; Tudor, Dacian; Creţu, Vladimir

doi:10.1109/saci.2009.5136301

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…We use a modified PERT to represent a project: a directed acyclic graph, as in (Stanciu et al, 2009). This graph's vertices are the tasks of the project and the arcs suggest that the pointed task is dependent to the source task.…”

Section: Project Status Determinationmentioning

confidence: 99%

TOWARDS MODELING LARGE SCALE PROJECT EXECUTION MONITORING - Project Status Model

Stanciu¹,

Tudor

Creţu

2010

Proceedings of the 5th International Conference on Software and Data Technologies

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Software projects are problematic considering their high overruns in terms of execution time and budget. In large scale projects, the monitoring activity is a very difficult task, due to the very complex relation between resources and constraints, and must be based on a well established methodology. The outputs of the monitoring process refer mostly to the current status of the project, which must be reflected as accurate as possible. We propose a model for project status determination. This is a sub-model of a future monitoring model subject of our current research. The project status model not only considers the perspective of the project manager, which defines the macro-universe of the project, but also the perspective of every worker involved in the project, who can be seen as manager of their assigned tasks, which defines the microuniverse of the worker.

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Section: Project Status Determinationmentioning

confidence: 99%

TOWARDS MODELING LARGE SCALE PROJECT EXECUTION MONITORING - Project Status Model

Stanciu¹,

Tudor

Creţu

2010

Proceedings of the 5th International Conference on Software and Data Technologies

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“…In this context, we are developing a monitoring framework for large-scale software projects, the Behavioral Monitoring Framework that has a prediction dedicated component model. We portrayed the monitoring framework and a part of its component models in (Stanciu et al, 2009), , and . A very interesting approach to historical information characterization that inspired us in the development of the Work Behavior Prediction method is presented in (Gîrba, 2005).…”

Section: Introductionmentioning

confidence: 99%

Work Behavior Prediction During Software Projects Development

Stanciu¹

2011

Proceedings of the 6th International Conference on Software and Database Technologies

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Software projects are well known for their high overruns in terms of budget and time. As they grow larger, project monitoring becomes harder. In such a context, forecasting becomes a critical "ability", helping the project manager to understand where the project is heading, in terms of required budged and implementation time. In this paper, we present a forecasting method that we developed, which makes use of a distinct representation of the observed behavior of project team members towards work that is Work Behavior. Moreover, we present the first results from experiments on real-world software project development data that show that our method is more accurate than a very popular prediction method, implemented by most ALM tools. 2.1 Definitions Definition 1 (Remaining Effort). Remaining Effort.

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