scholarly journals Fault detection technique for test cases in software engineering

2018 ◽  
Vol 7 (1) ◽  
pp. 53
Author(s):  
Jagatjot Singh ◽  
Sumit Sharma

The processing of software and performing various operations on it is known as a software engineering process. The application of test cases for detecting the faults within the software is done through the testing process. There are various types of faults that occur within a software or test case which are to be identified and preventive approaches are to be applied to prevent them. In this paper, the Learn-to-rank algorithm is utilized which helps in detecting the faults from the software. The Back-Propagation technique is included with the LRA approach for enhancing its performance and improving the detection of fault rate. 10 test cases of different types are used for running various experiments and the MATLAB tool is utilized for performing various simulations. It is seen through the various simulation results that the fault detection rate is increased as well as the execution time is minimized with the help of this approach. 

Regression testing is one of the most critical testing activities among software product verification activities. Nevertheless, resources and time constraints could inhibit the execution of a full regression test suite, hence leaving us in confusion on what test cases to run to preserve the high quality of software products. Different techniques can be applied to prioritize test cases in resource-constrained environments, such as manual selection, automated selection, or hybrid approaches. Different Multi-Objective Evolutionary Algorithms (MOEAs) have been used in this domain to find an optimal solution to minimize the cost of executing a regression test suite while obtaining maximum fault detection coverage as if the entire test suite was executed. MOEAs achieve this by selecting set of test cases and determining the order of their execution. In this paper, three Multi Objective Evolutionary Algorithms, namely, NSGA-II, IBEA and MoCell are used to solve test case prioritization problems using the fault detection rate and branch coverage of each test case. The paper intends to find out what’s the most effective algorithm to be used in test cases prioritization problems, and which algorithm is the most efficient one, and finally we examined if changing the fitness function would impose a change in results. Our experiment revealed that NSGA-II is the most effective and efficient MOEA; moreover, we found that changing the fitness function caused a significant reduction in evolution time, although it did not affect the coverage metric.


Author(s):  
Valerio Fernandes del Maschi ◽  
Luciano S. Souza ◽  
Mauro de Mesquita Spínola ◽  
Wilson Vendramel ◽  
Ivanir Costa ◽  
...  

The quality in software projects is related the deliveries that are adjusted to the use, and that they take care of to the objectives. In this way, Brazilian organizations of software development, especially the small and medium ones, need to demonstrate to future customers whom an initial understand of the business problem has enough. This chapter has as objective to demonstrate methodology, strategy, main phases and procedures adopted beyond the gotten ones of a small organization of development of software in the implantation of a Customized Software Engineering Process and of a Tool of Support to the Process in the period of 2004 to 2006 on the basis of rational unified process (RUP) and in the Microsoft solutions framework (MSF).


Author(s):  
E. Yu ◽  
L. Liu ◽  
J. Mylopoulous

As software becomes more and more entrenched in everyday life in today’s society, security looms large as an unsolved problem. Despite advances in security mecha-nisms and technologies, most software systems in the world remain precarious and vulnerable. There is now widespread recognition that security cannot be achieved by technology alone. All software systems are ultimately embedded in some human social environment. The effectiveness of the system depends very much on the forces in that environment. Yet there are few systematic techniques for treating the social context of security together with technical system design in an integral way. In this chapter, we argue that a social ontology at the core of a requirements engineering process can be the basis for integrating security into a requirements driven software engineering process. We describe the i* agent-oriented modelling framework and show how it can be used to model and reason about security concerns and responses. A smart card example is used to illustrate. Future directions for a social paradigm for security and software engineering are discussed.


2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Wesley Tessaro Andrade ◽  
Rodrigo Gonçalves de Branco ◽  
Maria Istela Cagnin ◽  
Débora Maria Barroso Paiva

The expansion of web is a phenomenon that brings several challenges in different segments of the society. Accessibility is one of these challenges and it is related to the digital inclusion and social welfare of the population. Thus, making accessible software available can contribute to solution of problems that currently exist in relation to access to information and services by all citizens. The purpose of this article is to present an approach that integrates accessibility to the Software Engineering process. We also present the Acero tool, which provides computational support to the proposed approach. Results were evaluated and we concluded that the use of the proposal reached the objectives, supporting different stages of the development process and contributing to obtain accessible software products.


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