| dc.description.abstract | Choosing the most appropriate components to compose a specific process for a project and ensuring the
consistency of this are not trivial tasks, requiring great knowledge and involvement of a process engineer. This
work aims to elaborate a semiautomatic approach for generating adapted and consistent software processes that
aims to prevent identified and prioritized risks for a project. From the selection mechanisms, defined through
adaptation criteria, and classification, using prioritization methods, the software process components most
appropriate to the development process are selected. In this work, risks related to Requirements Management are
used as adaptation criteria, since many projects fail due to problems related to this area in software projects.
Some common requirements risks in software projects are: requirements that do not reflect actual user needs,
changes in requirements during development, difficulty in finding a common agreement between developers and
users, incomplete and / or inconsistent requirements. These difficulties lead to rework, delays in the schedule,
high costs and, mainly, the dissatisfaction of customers and users of the software. The proposed approach
generates software processes that incorporate activities that aim to prevent risks of prioritized requirements for
the project. For this, the activities of the requirements area were surveyed, in which models of representation,
called feature models, were elaborated, which represent rules and lead to the selection of activities more
appropriate to the process. The main results of this work are: elaboration of feature model for requirements
activities, association of risks to activities that aim to prevent them, development of consistency rules for process
validation and automation in the creation of a software process. All of these components were inserted, validated
and implemented in a support tool to exemplify the use of the approach. This tool is being developed in the
research group in Software Engineering (PEnSO) of the Federal University of Santa Maria. In the end, the
proposed approach was validated through the construction of a test scenario to demonstrate the operation of the
approach, and the results expressed for a scenario of software process development were analyzed. However, the
approach has been shown to be effective and consistent in the presented result. | |
