Szenario-basierter Systemtest von Software-Produktfamilien

Zusammenfassung In der Produktfamilienentwicklung werden durch zwei Entwicklungsprozesse, Domain und Application Engineering, zun"achst wiederverwendbare Entwicklungsartefakte produziert, um diese anschlie?end zur Konstruktion von kundenspezifischen Applikationen einzusetzen. Die Wiederverwendbarkeit wird durch die explizite Definition der Variabilit"at der geplanten Applikationen einer Produktfamilie erzielt. Diese proaktive Wiederverwendung ist bisher in den konstruktiven Entwicklungsphasen realisiert, jedoch noch nicht im Test. Mit ScenTED (Scen_ario based TE_st Case D_erivation) wird in diesem Beitrag eine wiederverwendungsorientierte Technik zur Testfallerstellung f"ur den Systemtest, dem Test eines ausf"uhrbaren Systems gegen spezifizierte Use-Cases, von Produktfamilien vorgestellt. ScenTED basiert auf zwei Kernideen: der Erhaltung der Variabilit"at in Testf"allen und der Szenario-basierten Verfeinerung der Testf"alle. Durch die Erhaltung der Variabilit"at wird die Wiederverwendbarkeit von Testf"allen gesichert; die Szenario-basierte Verfeinerung erm"oglicht Nachvollziehbarkeit durch die durchg"angige Nutzung von Szenarien. In diesem Beitrag wird die ScenTED-Technik an einem Beispiel erl"autert und Erfahrungen aus dem industriellen Einsatz diskutiert.

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Product family engineering consists of two development processes: Domain engineering and application engineering. Reuseable artefacts are created in the domain engineering process. These artefacts are used for the creation of customer specific applications during the application engineering process. Reusability is achieved with the explicit definition of variability that specifies the potential applications of the product family. The proactive reuse has been realized in the construnction phases of the development process, but not within the test phases. We propose ScenTED (Scen_ario based TE_st Case D_erivation) for the creation of reusable test cases for a use case based system testing in product family engineering. ScenTED has two key ideas: The first is the preservation of variability in test cases and the second idea is the scenario-based refinement of test cases. The preservation of variability ensures the reusability of test cases. The scenario-based refinement enables the traceability from requirements to test cases. We present the ScenTED technique in this article with an example and discuss an industrial case study.

CR Subject Classification D2.5     

The measurement of goal attainment of governmental R&D support

Efficiency measurement of governmental R&D subsidies is a complicated task. The suggestion is made to derive the subsidization objectives from the programs themselves along seven dimensions. If completely defined and if properly operationalized, these could be used as a basis for efficiency measurement. Various levels of measurement and the related problems are reviewed. As information on a program and its acceptance are of importance for governmental planning, the development of diffusion models for this special purpose is suggested. A most simple version is given to start discussion. The ideas developed are illustrated by reference to empirical research on two related subsidization programs in the Federal Republic of Germany.     

Sickness presenteeism of German teachers: prevalence and influencing factors

The aim of the present study was to investigate teachers’ sickness presenteeism (SP). We examined the prevalence of SP in a sample of teachers as well as work-related and health-related influencing factors of teachers’ SP. We used a cross-sectional study design. Teachers working at different types of schools in Rhineland-Palatinate (Germany) participated in an online survey. We used Pearson’s Chi-squared test (in case of categorical variables) or Mann–Whitney-U-test (in case of continuous variables) to test for differences between SP and sociodemographic/work-related/health-related factors. Factors influencing SP were identified using multivariable logistic regression analyses. Nine hundred and twenty-four teachers working at 42 different schools completed the questionnaire (response proportion: 50.1%). The prevalence of SP in our study was 57.1%. The multivariable logistic regression analyses showed less support by supervisors (aOR: 1.77; 95-CI: 1.21–2.60), inappropriate administration efforts (aOR: 1.56; 95-CI: 1.16–2.11), and inappropriate recognition of performance (aOR: 1.44; 95-CI: 1.04–198) as well as exhaustion/fatigue (aOR: 2.29; 95-CI: 1.71–3.08) as main predictors of teachers’ SP. SP is widespread among teachers. As SP is associated with impairment of psychological and physical health in the long run, it is important to implement measures to reduce SP. A climate of support and cooperation as well as assistance for ill teachers to deal with work missed due to absence might be useful strategies.