Software risk assessment visualization tool design using probabilistic inference models

Mustafa, Nuridawati; Sanusi, Nurazlina Md; Ermahani, Intan; Jalil, Abd. Majid

doi:10.1109/itsim.2010.5561373

Cited by 2 publications

(3 citation statements)

References 4 publications

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“…In [14, 15], the authors present tools for risk evaluation during software development. In general, the user indicates weights to each specified risks to obtain a value from a defined interval.…”

Section: Related Workmentioning

confidence: 99%

Dependability approach for evaluating software development risks

et al. 2015

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Software development is usually impacted by risks (e.g. schedule delays and increased costs), which may lead to the failure of the software project. Several techniques have been proposed to evaluate the effects of such undesirable issues, but probability estimates are usually neglected, affecting a proper evaluation of risks. This work presents an approach based on dependability models (e.g. stochastic Petri nets) for probabilistic evaluation of risks regarding the turnover of team members and requirement implementation in software development projects. Two case studies are adopted to demonstrate the feasibility of the proposed technique.

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Section: Related Workmentioning

confidence: 99%

Dependability approach for evaluating software development risks

et al. 2015

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“…There is information about team size [19,34,38]. Team skills are mentioned considering experience [19,40] and knowledge levels [20,22] on certain technology or platform. There are also proposals of effort estimation based on the team and time to perform, as described in [32] and [18].…”

Section: Designmentioning

confidence: 99%

“…There are also proposals of effort estimation based on the team and time to perform, as described in [32] and [18]. Motivations levels is considered as an important measure for software development environments [30,40], once the software processes specifically depends a lot from the staff. And finally, some papers discuss about the importance of communication, so that the communication level must be measured to assure projects or organizational successes [20,30].…”

Section: Designmentioning

confidence: 99%

Defining Indicators for Risk Assessment in Software Development Projects

Menezes¹,

Gusmão²,

Moura³

2013

CLEIej

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The usage of indicators acts in both strategic and tactical levels, it is effective for optimization of processes and also supports managerial decisions. Despite the relevance of risk management in software projects, it is in fact still usually overlooked by the organizations that develop software. One reason for this fact is that the concept of risk is abstract and subjective, and its management does not bring apparent immediate practical result. Differently, for example, in the financial market, where the risk management is consolidated and widely applied, and it is currently a need for the companies that work in this field. Briefly, risk management practices just became effectively consolidated in the financial market field when the uncertainties became measurable. In this context, this paper aims to define and propose indicators that are specific for environments of software projects in order to support risk assessment activities – risk identification and risk analysis. To achieve this objective, we first developed a systematic mapping study in order to collect evidences about metrics, indicators and relevant information for risk assessment. These findings were combined with the identification of measurable risk factors, providing, thus, a set of categorized indicators for software development environments.

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Software risk assessment visualization tool design using probabilistic inference models

Cited by 2 publications

References 4 publications

Dependability approach for evaluating software development risks

Dependability approach for evaluating software development risks

Defining Indicators for Risk Assessment in Software Development Projects

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