Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Problem management is the most significant process within corrective maintenance. Through the problem management process, reported problems are investigated, their root causes are identified and actions are taken towards their resolution. With measurement, problem management may provide additional information for assessing the quality of products and processes. Using measurement, the companies are able to improve the quality of their products and processes and manage their resources more efficiently. This makes measurement one of the key issues in regard to corrective maintenance. The importance of measurement within corrective maintenance is highlighted in different literature. However, to the knowledge of the author of this thesis, there is no comprehensive framework specifically designed for this matter.
In this thesis, we propose a framework for basic measurement within corrective maintenance. Our framework identifies software measures communicating information on software problems and defects. Our goal is twofold: (1) to create a framework for companies to perform measurement efficiently throughout their corrective maintenance process and (2) to provide a basis for further research on measurement within corrective maintenance.
We divided our measurements into three different categories namely Product, Process and Resource. The measurements were further divided into two other categories; Direct and Indirect. Our proposed framework mainly deals with direct measurement including measures such as LOC, number of problem reports, and the like. In this work we did not focus on indirect measurement including more advanced measures which are based on direct measures, such as functionality. However, our framework includes some of the simple indirect measures as well.
We used a qualitative research approach with the desired outcome being the following hypothesis: “our proposed framework is a valid solution for addressing the lack of a comprehensive framework for measurement within corrective maintenance”. Data collection was performed using literature study, interviews and questionnaires.
We evaluated our framework within three companies of different size and field and geographical location. The evaluation was conducted in form of a series of interviews. The evaluation resulted in a framework for basic measurement within corrective maintenance with a strong focus on problem management. Parts of the framework are possible to reuse within other contexts of problem management, such as for instance problem management within testing.
The result of the evaluation proved that our framework is useful within industry and hence we arrived at our tentative hypothesis. We believe that our proposed framework is a valid solution for addressing the lack of a comprehensive framework for measurement within corrective maintenance.
2016. , 79 p.