Abstract: The importance of software in nearly all of today’s engineering disciplines demands for development and validation techniques ensuring high dependability of complex software systems. Component-based software development as the ultimate approach for dealing with complexity shifts the focus of verification from unit to integration tests addressing the correctness of component interactions. As the current state-of-the-art does not include a systematic and tool-supported approach to interface testing, this paper presents a procedure for the automatic generation of integration test data based on genetic algorithms.
Use of a genetic algorithm and formal concept analysis to generate test data for branch coverage is ...
In software testing, it is often desirable to find test inputs that exercise specific program featur...
Software testing is a very crucial part among all phases of software life cycle model in software en...
Software testing is always a time-consuming process with no clear results, but it is just as importa...
Although it is well understood to be a generally undecidable problem, a number of attempts have been...
Although it is well understood to be a generally undecidable problem, a number of attempts have been...
Abstract—Software test-data generation is the process of identifying a set of data, which satisfies ...
We present here an improved strategy to devise optimal integration test orders in object-oriented sy...
Abstract — Genetic_Algorithms (GAs) have been considered to automate the generation of test-data for...
We present here an improved strategy to devise optimal integration test orders in object-oriented sy...
The overall aim of the software industry is to ensure delivery of high quality software to the end u...
The software testing has gained importance and can be considered a fundamental activity to ensure th...
Although it is well understood to be a generally undecidable problem, a number of attempts have been...
One of the major difficulties in software testing is the automatic generation of test data that sati...
Although a lot of research has been done in the field of state-based testing, the automatic generati...
Use of a genetic algorithm and formal concept analysis to generate test data for branch coverage is ...
In software testing, it is often desirable to find test inputs that exercise specific program featur...
Software testing is a very crucial part among all phases of software life cycle model in software en...
Software testing is always a time-consuming process with no clear results, but it is just as importa...
Although it is well understood to be a generally undecidable problem, a number of attempts have been...
Although it is well understood to be a generally undecidable problem, a number of attempts have been...
Abstract—Software test-data generation is the process of identifying a set of data, which satisfies ...
We present here an improved strategy to devise optimal integration test orders in object-oriented sy...
Abstract — Genetic_Algorithms (GAs) have been considered to automate the generation of test-data for...
We present here an improved strategy to devise optimal integration test orders in object-oriented sy...
The overall aim of the software industry is to ensure delivery of high quality software to the end u...
The software testing has gained importance and can be considered a fundamental activity to ensure th...
Although it is well understood to be a generally undecidable problem, a number of attempts have been...
One of the major difficulties in software testing is the automatic generation of test data that sati...
Although a lot of research has been done in the field of state-based testing, the automatic generati...
Use of a genetic algorithm and formal concept analysis to generate test data for branch coverage is ...
In software testing, it is often desirable to find test inputs that exercise specific program featur...
Software testing is a very crucial part among all phases of software life cycle model in software en...