Risk management (RM) plays a key role in project management, as it allows identification and prompt management of threats that may arise during project execution. Furthermore, project management within the software industry is evolving rapidly nowadays, a fact that implies new challenges, because the emergence and use of fresh approaches has brought a greater degree of complexity to the RM process. The objective of this paper is to carry out a systematic literature review (SLR) in the field of software risk, in an attempt to characterize and present the state of the art of this field, identifying gaps and opportunities for further research. From the analysis of the results of this SLR it could be observed that interest on the part of the scientific community has turned away from the definition of research work that addressed an integrated risk management process, to pay attention to work that concentrates on specific activities of this process. It was also possible to see that there is a clear lack of scientific rigour as regards the process of validation in the different studies, and a deficiency in the use of standards or of de facto models to define these.
In order to improve and sustain their competitiveness over time, organisations nowadays need to undertake different initiatives to adopt frameworks, models and standards that will allow them to align and improve their business processes. In spite of these efforts, organisations may still encounter governance and management problems. This is where Risk Management (RM) can play a major role, since its purpose is to contribute to the creation and preservation of value in the context of the organisation's processes. RM is a complex and subjective activity that requires experience and a high level of knowledge about risks, and it is for this reason that standardisation institutions and researchers have made great efforts to define initiatives to overcome these challenges. However, the RM field nevertheless presents a lack of uniformity in its terms and concepts, due to the different contexts and scopes of application, a situation that can generate ambiguities and misunderstandings. To address these issues, this paper aims to present an ontology called SRMO (Software Risk Management Ontology), which seeks to unify the terms and concepts associated with RM and provide an integrated and holistic view of risk. In doing so, the Pipeline framework has been applied in order to assure and verify the quality of the proposed ontology, and it has been implemented in Protégé and validated by means of competency questions. Three application scenarios of this ontology demonstrating their usefulness in the software engineering field are presented in this paper. We believe that this ontology can be useful for organisations that are interested in: (i) establishing an RM strategy from an integrated approach, (ii) defining the elements that help to identify risks and the criteria that support decision-making in risk assessment, and (iii) helping the involved stakeholders during the process of risk management.
Contours of observed g r a v i t y data i n t e r-Gravity data, low-pass f i l t e r e d w i t h a Gravity data, low-pass filtered, decimated Gravity data but zero-meaned and detrended Model g r i d , seismic staeions and earthquake Trade-off curves f o r travel-time inversion Contour map of velocity perturbations i n Layer 1 (0-1 km) of the f i n a l j o i n t Layer 2 (1-2 km) of j o i n t inversion model Layer 3 (2. 0-3. 5 km) of j o i n t inversion model f o r NDF = 7 4 .
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