37 research outputs found

    Exact Gap Computation for Code Coverage Metrics in ISO-C

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    Test generation and test data selection are difficult tasks for model based testing. Tests for a program can be meld to a test suite. A lot of research is done to quantify the quality and improve a test suite. Code coverage metrics estimate the quality of a test suite. This quality is fine, if the code coverage value is high or 100%. Unfortunately it might be impossible to achieve 100% code coverage because of dead code for example. There is a gap between the feasible and theoretical maximal possible code coverage value. Our review of the research indicates, none of current research is concerned with exact gap computation. This paper presents a framework to compute such gaps exactly in an ISO-C compatible semantic and similar languages. We describe an efficient approximation of the gap in all the other cases. Thus, a tester can decide if more tests might be able or necessary to achieve better coverage.Comment: In Proceedings MBT 2012, arXiv:1202.582

    1954: Abilene Christian College Bible Lectures - Full Text

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    Preface The 1954 Abilene Christian College Lectureship was one of the best attended and most successful in the history of the school. Considerable interest was manifested in the timely theme, “Overcoming Dangerous Tendencies,” and in the two special topics, “Ways and Means of Doing Mission Work,” and “Caring For Widows and Orphans.” The reports from the mission fields were highly stimulating, and all in all, the speeches were unusually high caliber. The Panel Discussions were also on timely subjects and well presented. They received a warm response, as did also the thirty classes that were conducted each day. These classes were taught by persons expert in their particular fields, and covered a wide range of interests to the faithful, working Christian. We at Abilene Christian College predict for this book of Lectures a wide and hearty reception, and believe that its reading will issue in profit to the individual and to the church at large. J. D. Thomas Lectureship Directo

    Using Clone Detection to Manage a Product Line 1 Clone Detection to find Domain Concepts

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    Clone detection finds code in large software systems that has been replicated and modified by hand. Remarkably, clone detection works because people copy conceptually identifiable blocks of code, and make only a few changes, which means the same syntax is detectably repeated. Each identified clone thus indicates the presence of a useful problem domain concept, and simultaneously provides an example implementation. Differences between the copies identify parameters or points of variation. Clones can thus enhance a product line development in a number of ways: removal of redundant code, lowering maintenance costs, identification of domain concepts for use in the present system or the next, and identification of parameterized reusable implementations. A slightly surprising property is that clones sometimes reveal code bugs directly by inspection of parameter bindings with inconsistent actual or conceptual types. This position paper sketches a work just started, to review the clones found in a Java-based 250K SLOC web application and determine their impact on the current product and its next generation, currently being planned. 2 Application to Salion’s product suite Salion, Inc. provides a product suite solution to its customers comprised of multiple products built from a core component base. The set of products enabled for a customer is determined by Salion Professional Services based on the customer requirements and matched against the capabilities provided by each product within the suite. The framework created to support the licensing requirements defined by Salion's business model provides seamless integration between each product. Adding new products becomes a composition task for development rather than new development. To enable the level of reuse required for a product suite approach requires a core set o
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