Background: Organizations adopting Agile Software Development (ASD) use different Knowledge Management (KM) practices to retain and share knowledge. However, it is often the case that knowledge retention is carried out in an ad-hoc way. Aims: In this study, we report our experience from proposing the Knowledge Critically Evaluation Method (KCEM) to evaluate knowledge items (KIT). Our main goal with KCEMs is to support companies to systematically retain knowledge in ASD contexts. Method: We conducted an improvement case study to develop and evaluate KCEM. This research follows the guidelines for technology transfer between industry and academia. The case and unit of analysis is Ericsson, a Swedish company that develops telecommunication solutions. Results: In this paper, we provide initial results of both lab and static validation, enriched by the lessons learned. Conclusions: The preliminary results show that KCEM is easy to understand and use, provides a different perspective on the KIT by visualizing in the criticality chart, and reduces the level of abstraction associated to a knowledge subject area.

Software testing is expensive and time consuming,especially for complex software. In order to deal with the costof testing, researchers develop Model-Based Testing (MBT). InMBT, test cases are generated automatically and a drawback isa huge generated test suite. Our research aims at studying the Test Case Prioritization problem in MBT context. So far, we already evaluated the influence of the model structure and the characteristics of the test cases that fail. Results suggest that the former does not affect significantly the performance of techniques, however, the latter indeed represents a major impact. Therefore, a worthy information in this context might be an expert who knows the crucial parts of the software, thus we propose the first version of a prioritization technique that considers hints from the expert and the distance notion in order to prioritize test cases. Evaluation and tuning of the technique are ongoing, but preliminary evaluation reveals promising results.