Assessment and control of software risks
Assessment and control of software risks
Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
Proceedings of the Conference on The Future of Software Engineering
Value based software reuse investment
Annals of Software Engineering
Software Risk Management: Principles and Practices
IEEE Software
How Experienced Project Managers Assess Risk
IEEE Software
The development of an instrument to measure software project risk
The development of an instrument to measure software project risk
Toward an assessment of software development risk
Journal of Management Information Systems - Special section: Strategic and competitive information systems
Knowledge management in a software development environment to support software processes deployment
WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
Analysis & recommendations for the management of cots: computer off the shelf-software projects
ICCOMP'07 Proceedings of the 11th WSEAS International Conference on Computers
The influence of checklists and roles on software practitioner risk perception and decision-making
Journal of Systems and Software
Active ERP implementation management: A Real Options perspective
Journal of Systems and Software
Choquet integral based aggregation approach to software development risk assessment
Information Sciences: an International Journal
Monetary pricing of software development risks: A method and empirical illustration
Journal of Systems and Software
RCDA: Architecting as a risk- and cost management discipline
Journal of Systems and Software
Intuitionistic fuzzy-valued Choquet integral and its application in multicriteria decision making
Information Sciences: an International Journal
Dynamic risks modelling in ERP maintenance projects with FCM
Information Sciences: an International Journal
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As in any other business, software development organizations try to maximize their profits and minimize their risks. The risks represent uncertain events and conditions that may prevent enterprises from attaining their goals, turning risk management into a major concern, not only for project managers but also for executive officers involved with strategic objectives. In this sense, economical concepts can greatly support Software Engineers in the effort to better quantify the uncertainties of either a single project or even a project portfolio. In this paper, we present a technique for evaluating risk levels in software projects through analogies with economic concepts. This technique allows a manager to estimate the probability distribution of earnings and losses incurred by an organization in relation to its software project portfolio. This approach has been calibrated by data collected in an empirical study, which has been planned and accomplished to provide information about the relative importance of risk factors in software projects. A usage example of such an approach is presented. Finally, we introduce a case tool specially built to support the application of the proposed techniques.