aSoftware is continuously increasing in complexity. Paradigmatic shifts and new development frameworks make it easier to implement software a but not to test it. Software testing remains to be a topic with many open questions with regard to both technical low-level aspects and to the organizational embedding of testing. However, a desired level of software quality cannot be achieved by either choosing a technical procedure or by optimizing testing processes. In fact, it requires a holistic approach.This Brief summarizes the current knowledge of software testing and introduces three current research approaches. The base of knowledge is presented comprehensively in scope but concise in length; thereby the volume can be used as a reference. Research is highlighted from different points of view. Firstly, progress on developing a tool for automated test case generation (TCG) based on a programas structure is introduced. Secondly, results from a project with industry partners on testing best practices are highlighted. Thirdly, embedding testing into e-assessment of programming exercises is described.Tools for static analysis and automated proofs are currently in development but very promising [4, p. 505ff.]. ac TCG is possible in a variety of steps from manual to fully automated. A problem of test automatization is that it is amore expensive toanbsp;...
|Title||:||Improving Software Testing|
|Author||:||Tim A. Majchrzak|
|Publisher||:||Springer Science & Business Media - 2012-02-03|