processes and tools, concrete preventative and analytical software quality assurance activities are still typically manually triggered and determined, resulting in missed or untimely quality opportunities and increased project overhead. Quality goals, when defined, lack holistic environmental support for automated performance measurement and governance that is tightly integrated in the low-level operational software engineering processes. This results in higher quality risks and cost risks. Based on adaptive process management, an approach is presented that injects situationally-determined quality measure proposals into the concrete workflows of software engineers, using contextual semantic knowledge and multi-agent quality goal tracking and decision-making. Our evaluation shows the feasibility of the approach for automatically providing timely quality measure guidance to software engineers without disrupting their current activities. This supports process governance while reducing quality risks and costs during software development projects. Keywords-software quality assurance; process-centered software engineering; adaptive process management; semantic technology; agents; Goal-Question-Metric technique I.

Computer-supported cooperative work; process-centered software engineering environments; process-aware information systems; context-awareness; semantic web applications. The dynamic nature and high degree of collaboration and communication inherent in software development projects raises various challenges for the automated coordination of tasks in software engineering environments (SEEs). To address these challenges and to enable automated coordination, adaptive processaware SEEs are required that enhance process quality while not encumbering software development. This paper describes a synergistic approach that extends a process-aware information system with contextual awareness and integrates this in a SEE. Abstract processes and the actually executed workflows are automatically and contextually associated. In particular, intrinsic and extrinsic process activities are considered and a context-based reasoning process is used to automatically derive possible (artifact) activity relations and consequences. Thus, necessary follow-up activities can be automatically governed. Our results show support for improved team coordination, greater situational awareness for developers, and process guidance as well as process navigability for collaborating software engineers. 1

Abstract. The rise of interest in declarative languages for process modeling both justifies and demands empirical investigations into their presumed advantages over more traditional, imperative alternatives. Our concern in this paper is with the ease of maintaining business process models, for example due to changing performance or conformance demands. We aim to contribute to a rigorous, theoretical discussion of this topic by drawing a link to well-established research on maintainability of information artifacts.

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