Practitioners are poorly supported by the scientific literature when managing traceability information models (TIMs), which capture the structure and semantics of trace links. In practice, companies manage their TIMs in very different ways, even in cases where companies share many similarities. We present our findings from an in-depth focus group about TIM management with three different systems engineering companies. We find that the concrete needs of the companies as well as challenges such as scale and workflow integration are not considered by existing scientific work. We thus issue a call-to-arms for the requirements engineering and software and systems traceability communities, the two main communities for traceability research, to refocus their work on these practical problems.
Abstract. Developing product lines is usually more ecient than developing single products because of the reuse of single components. Testing, however, has to consider complete, integrated systems. To prevent testing every product on system level, the whole product line should be analyzed with the aim of selecting distinguishing product behavior and a minimum of system products to test. In this paper, we present a model-based test design approach for testing the selected behavior of products, but also their deselected behavior. A major challenge of this approach is that the deselected behavior of a product is often not part of its behavioral model. Thus, we use the variability model to transform the behavioral model so that showing the exclusion of the deselected behavior is also covered by tests. We present the approach, a corresponding prototypical implementation, and our experiences using a set of examples.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.