46 research outputs found

    Refinement Techniques in Mining Software Behavior

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    Ph.DDOCTOR OF PHILOSOPH

    CODE-CHANGE AWARE MUTATION BASED TESTING IN CONTINUOUSLY EVOLVING SYSTEMS

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    In modern software development practices, testing activities must be carried out frequently and preferably after each code change to bring confidence in anticipated system behaviour and, more importantly, to avoid introducing faults. When it comes to software testing, it is not only about what we are expecting; it is equally about what we are not expecting. Developers desire to test and assess the testing adequacy of the delta of behaviours between stable and modified software versions. Many test adequacy criteria have been proposed through the years, yet very few have been placed for continuous development. Among all proposed, one has been empirically verified to be the most effective in finding faults and evaluating test adequacy. Mutation Testing has been widely studied, but its current traditional form is impractical to keep up with the rapid pace of modern software development standards and code evolution due to a large number of test requirements, i.e., mutants. This dissertation proposes change-aware mutation testing, a novel approach that points to relevant change-aware test requirements, allows reasoning to what extent code modification is tested and captures behavioural relations of changed and unchanged code from which faults often arise. In particular, this dissertation builds contributions around challenges related to the code-mutants' behavioural properties, testing regular code modifications and mutants' fault detection effectiveness. First, this dissertation examines the ability of the mutants to capture the behaviour of regression faults and evaluates the relationship between the syntactic and semantic distance metrics often used to capture mutant-real fault similarity. Second, this dissertation proposes a commit-aware mutation testing approach that focuses rather on change-aware mutants that bring significant values in capturing regression faults. The approach shows 30\% higher fault detection in comparison with baselines and sheds light on the suitability of commit-aware mutation testing in the context of evolving systems. Third, this dissertation proposes the usage of high-order mutations to identify change-impacted mutants, resulting in the most extensive dataset, to date, of commit-relevant mutants, which are further thoroughly studied to provide the understanding and elicit properties of this particular novel category. The studies led to the discovery of long-standing mutants, demonstrated as suitable to maintain a high-quality test suite for a series of code releases. Fourth, this dissertation proposes the usage of learning-based mutant selection strategies when questioning how effective are the mutants of fundamentally different mutation generation approaches in finding faults. The outcomes raise awareness of the risk that the suitability of different kinds of mutants can be misinterpreted if not using intelligent approaches to remove the noise of impractical mutants. Overall, this dissertation proposes a novel change-aware testing approach and provides insights for software testing gatekeepers towards more effective mutation testing in the context of continuously evolving systems

    Geothermal Energy: Delivering on the Global Potential

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    After decades of being largely the preserve of countries in volcanic regions, the use of geothermal energy—for both heat and power applications—is now expanding worldwide. This reflects its excellent low-carbon credentials and its ability to offer baseload and dispatchable output - rare amongst the mainstream renewables. Yet uptake of geothermal still lags behind that of solar and wind, principally because of (i) uncertainties over resource availability in poorly-explored reservoirs and (ii) the concentration of full-lifetime costs into early-stage capital expenditure (capex). Recent advances in reservoir characterization techniques are beginning to narrow the bounds of exploration uncertainty, both by improving estimates of reservoir geometry and properties, and by providing pre-drilling estimates of temperature at depth. Advances in drilling technologies and management have potential to significantly lower initial capex, while operating expenditure is being further reduced by more effective reservoir management — supported by robust mathematical models — and increasingly efficient energy conversion systems (flash, binary and combined-heat-and-power). Advances in characterization and modelling are also improving management of shallow low-enthalpy resources that can only be exploited using heat-pump technology. Taken together with increased public appreciation of the benefits of geothermal, the technology is finally ready to take its place as a mainstream renewable technology, This book draws together some of the latest developments in concepts and technology that are enabling the growing realisation of the global potential of geothermal energy in all its manifestations.After decades of being largely the preserve of countries in volcanic regions, the use of geothermal energy—for both heat and power applications—is now expanding worldwide. This reflects its excellent low-carbon credentials and its ability to offer baseload and dispatchable output - rare amongst the mainstream renewables. Yet uptake of geothermal still lags behind that of solar and wind, principally because of (i) uncertainties over resource availability in poorly-explored reservoirs and (ii) the concentration of full-lifetime costs into early-stage capital expenditure (capex). Recent advances in reservoir characterization techniques are beginning to narrow the bounds of exploration uncertainty, both by improving estimates of reservoir geometry and properties, and by providing pre-drilling estimates of temperature at depth. Advances in drilling technologies and management have potential to significantly lower initial capex, while operating expenditure is being further reduced by more effective reservoir management — supported by robust mathematical models — and increasingly efficient energy conversion systems (flash, binary and combined-heat-and-power). Advances in characterization and modelling are also improving management of shallow low-enthalpy resources that can only be exploited using heat-pump technology. Taken together with increased public appreciation of the benefits of geothermal, the technology is finally ready to take its place as a mainstream renewable technology
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