The Integration of Task and Data Parallel Skeletons

We describe a skeletal parallel programming library which integrates task and data parallel constructs within an API for C++. Traditional skeletal requirements for higher orderness and polymorphism are achieved through exploitation of operator overloading and templates, while the underlying parallelism is provided by MPI. We present a case study describing two algorithms for the travelling salesman problem

Muggl: The Muenster Generator of Glass-box Test Cases

Testing is a task that requires much effort, yet it is essential for developing software. Automated test case generation (TCG) promises to relieve humans of manual work. We introduce Muggl (the Muenster generator of glass-box test cases), which is developed at our institute. Muggl generates test cases for Java bytecode. It symbolically executes code and uses constraint solving techniques. While papers on Muggl have already been published, no comprehensive introduction of the tool exist. This working paper fills this gap

A Symbolic Java Virtual Machine for Test Case Generation

Quality management is becoming a more and more important part of the software development process. As software testing is currently understood as the core function of the quality managment, developers start using software testing tools to facilitate their work. However most existing tools just manage given sets of test cases and check them against pre-defined testing criteria. The necessary test case discovery is usually up to user, who has to generate the test cases in an ad-hoc approach with only minimal support from the software. GlassTT, the tool we present in this paper, faces this problem by creating the needed test cases for a given criterion for a Java class file. It uses a symbolic Java virtual machine to generate constraints representing the conditions for the control flow under consideration. The system can employ a parameterizeable test criterion such as data-flow coverage. The constraint solvers embedded in the tool are capable of solving linear and non-linear constraints, which is sufficient for almost all constraints encountered in the execution of Java programs. They are encapsulated in an incremental constraint solver manager, which dynamically chooses an appropriate constraint solver and enables the efficient communication between constraint solvers and symbolical virtual machine

The Münster Skeleton Library ‚Muesli‘:A Comprehensive Overview

<br

European Research Center for Information Systems (ERCIS):Gründungsveranstaltung Münster, 12. Oktober 2004

<br