نتایج جستجو برای: test data generation
تعداد نتایج: 3235598 فیلتر نتایج به سال:
This paper presents a Big Bang Big Crunch concept based search algorithm for automatic generation of structural software tests. Test cases are symbolically generated by measuring fitness of individuals with the help of branch distance based objective function. Evaluation of the test generator was performed using ten real world programs. Some of these programs had large ranges for input variable...
the hypothesis is that recent and frequent exposure to lexical items leads to a more fluent production of speech in terms of rate of speech. to test the hypothesis,a one-way anova experimental design was carried out. 24 sednior students of efl participated in a one-way interview test. data analyses revealed that those who were exposed frequently to the lexical items over a week prior to inter...
the hypothesis is that recent and frequent exposure to lexical items leads to a more fluent production of speech in terms of rate of speech. to test the hypothesis , a one- way anova experimental design was carried out. 24 senior student of efl participated in a one-way interview test. data analyses revealed that those who were exposed frequently to the lexical items over a week prior to inte...
Automated generation of test cases is a prerequisite for fast testing. Whereas the research in automated test data generation addressed the creation of individual test points, test trajectory generation has attracted limited attention. In simple terms, a test trajectory is defined as a series of data points, with each (possibly multidimensional) point relying upon the value(s) of previous point...
Genetic algorithms have been successfully applied in the area of software testing. The demand for automation of test case generation in object oriented software testing is increasing. Genetic algorithms are well applied in procedural software testing but a little has been done in testing of object oriented software. This paper discusses genetic algorithms that can automatically select an effici...
LUTESS is a testing tool for synchronous software making possible to automatically build test data generators. The latter rely on a formal model of the program environment composed of a set of invariant properties, supposed to hold for every software execution. Additional assumptions can be used to guide the test data generation. The environment descriptions together with the assumptions corres...
The fundamental objective in value-based software engineering is to integrate consistent stakeholder value propositions into the full extent of software engineering principles and practices so as to increase the value for software assets. In such a value-based setting, artifacts in software development such as requirement specifications, use cases, test cases, or defects, are not treated as equ...
The complexity of IT systems and the criticality of robust IT systems is constantly increasing. Testing a system requires consideration of different protocols and interfaces, which makes testing hard and expensive. Test automation is required to improve the quality of systems without cost explosion. Many standards like HTML and FTP are semi– formally defined in RFCs, which makes a generic algor...
Automated test data generation is an important method for the verification and validation of UML/OCL specifications. In this paper, we present an extension of DNF-based test case generation methods to class models and recursive query operations on them. A key feature of our approach is an implicit representation of object graphs avoiding a representation based on object-id’s; thus, our approach...
In recent years, Model-Based Testing (MBT) has attracted an increasingly wide interest from industry and academia. The beneficial use of MBT, however, requires tools that not only automate the testing process, but that also rely in an extensible and configurable architecture that make them adaptable to various contexts of application. Though a number of tools have been developed to support MBT,...
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