Titlebook: Software Quality. Model-Based Approaches for Advanced Software and Systems Engineering; 6th International Co Dietmar Winkler,Stefan Biffl,J

Allure

ways useful in teaching or as fair to minority groups as some writers would prefer (Farr & Roser, 1974; Fry, 1976; Gurney, 1978; Levine, 1976; Newkirk, 1975; Rowley, 1980). Nevertheless, many teachers and curriculum designers have found tests to aid reading instruction (Vincent & Cress well, 1976).

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Software Quality Assurance by Static Program Analysisodel level in model-based software design. We give an introduction to static program analysis as a verification technology, describe several applications to the development of safety-critical systems, and show how it can be integrated into a model-based design flow.

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Business Intelligence in Software Quality Monitoring: Experiences and Lessons Learnt from an Industrof software quality in practice. Furthermore, BI solutions can act as an enabler for any kind of data-driven research activities within companies. Finally we point out some issues, that need to be addressed by future data-driven research in the area of software measurement.

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Automated Feature Identification in Web Applicationspresents an approach and an associated tool to automate feature identification for web applications. For empirical validation, a multiple case study was conducted using three well known web applications: Youtube, Google and BBC. The results indicate that there is a good potential for automating feature identification in web applications.

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BOLUS

An Industry Ready Defect Causal Analysis Approach Exploring Bayesian Networksayesian networks, called DPPI (Defect Prevention-Based Process Improvement), resulted from research following an experimental strategy. Its conceptual phase considered evidence-based guidelines acquired through systematic reviews and feedback from experts in the field. Afterwards, in order to move t

PAN

Business Intelligence in Software Quality Monitoring: Experiences and Lessons Learnt from an Industrross the software life cycle. We carried out an industrial case study making use of a web-enabled, OLAP-based dashboard to measure and analyse quality indicators across various dimensions. We report on lessons learnt and present empirical results on execution times regarding different groups of quer