Automated software testing

TL;DR: An alternative model based on opportunity cost is introduced and influencing factors on the decision of whether or not to invest in test automation are presented and stimulated to stimulate discussion about these factors as well as their influence on the benefits and costs of automated testing.

TL;DR: In this article, an instrument-based distributed computing system is described that accelerates the measurement, analysis, verification and validation of data in a distributed computing environment, where a client may create a job and distribute a portion of the job to one or more remote workers on a network.

TL;DR: In this paper, a system and method provides a natural language interface to world-wide web content, where web content is parsed using a parsing algorithm either in advance or dynamically, and information contained on the responsive webpage is extracted and converted to speech via a text-to-speech engine and communicated to the person.

TL;DR: A statistical analysis of data gathered from a survey carried out in March 2006 reveals that agile methods do indeed improve outcomes from software development projects in terms of quality, satisfaction, and productivity, without a significant increase in cost.

TL;DR: In this paper, an automatic testing technique generates an incremental coverage report indicating coverage only for portions of the program that are unreached by previous testing, allowing software testing processes to concentrate upon finding tests which increase the test coverage and reducing the sheer bulk of the coverage output.

TL;DR: In this article, an automated software testing system for testing system-under-test resident software without extensive intrusion into the system under-test hardware or software is presented, where a first version of interactive software is executed on the systemunder test and the previously recorded script is played back.

TL;DR: In this article, a test management system is provided having high flexibility of test structuring capabilities, and fine-grained control over how tests are executed; it can integrate with modern testing tools without requiring a modification of the system itself.

TL;DR: In this article, a method of testing a software module using a genetic algorithm to generate a best test script is provided, where a set of state machines are created which represent a definition for either a user interface or an application program interface (API) of the software module in terms of the possible states.