in the software development process, testing is one of the most human intensive steps. many researchers try to automate test case generation to reduce the manual labor of this step. negative selection is a famous algorithm in the field of artificial immune system (ais) and many different applications has been developed using its idea. in this paper we have designed a new algorithm based on nega...

In recent years, several techniques have been proposed for class-level regression testing. Most of these techniques focus either on whiteor black-box testing, although an integrated approach can have several benefits. As similar tasks have to be carried out for both whiteand black-box testing, an integrated approach can improve efficiency and cost effectiveness. This article explains a new appr...

Automatic program evaluation is a way to assess source program files. These techniques are used in learning management environments, programming exams and contest systems. However, use of automated program evaluation encounters problems: some evaluations are not clear for the students and the system messages do not show reasons for lost points. The author proposes several ideas for possible imp...

The purpose of this chapter is to introduce techniques for the selection, minimization, and prioritization of tests for regression testing. The source T from which tests are to be selected is likely derived using a combination of black-box and white-box techniques and used for system or component testing. However, when this system or component is modified, for whatever reason, one might be able...

Software testing is the process used to measure the quality of developed computer software. It exhibits all mistakes, errors and flaws in the developed software. In this paper, the three most prevalent and commonly used software testing techniques for detecting errors are described and compared, they are: white box testing, black box testing and grey box testing. Keywords— Black box, Demonstrat...

Random testing is a well known concept that requires that each test is selected randomly regardless of the test previously applied. This paper introduces the concept of antirandom testing. In this testing strategy each test applied is chosen such that its total distance from all previous tests is maximum. Two distance measures are de ned. Procedures to construct antirandom sequences are develop...

We show that the unrestricted black-box complexity of the n-dimensional XORand permutation-invariant LeadingOnes function class is O(n log(n)/ log logn). This shows that the recent natural looking O(n logn) bound is not tight. The black-box optimization algorithm leading to this bound can be implemented in a way that only 3-ary unbiased variation operators are used. Hence our bound is also vali...

Constrained objects provide a suitable object-oriented style for modeling systems under constraints. A set of classes is defined to represent a problem, whose state is then controlled by a constraint satisfaction engine. This engine is commonly a black-box based on a predefined and non-customizable search strategy. This system rigidity, of course, does not allow users to tune models in order to...

Typically, these kinds of questions are answered with reference to the inherent properties of the assessment mechanism. For example, Lowry et.al. [7] and Menzies & Cukic [8] contrast the costs and defect detection decay rates of formal methods, white box testing, and black box testing. That analysis made assumptions about the completeness of the search and the cost of setting up each run. A dra...

Early prediction systems of student performance can be very useful to guide student learning. For a prediction model to be really useful as an effective aid for learning, it must provide tools to adequately interpret progress, to detect trends and behaviour patterns and to identify the causes of learning problems. White-box and black-box techniques have been described in literature to implement...