Intelligent and Automated Software Testing Methods Classification
نویسندگان
چکیده
Since computer’s software applications rapidly increased in modern life, it is important to have enough reliability and minimizing the probability of faults in software products. Software testing is a process to find faults in software’s products, due to increase software reliability. Because testing process is very costly, automation techniques are needed to reduce these costs and also, increase reliability. In automated testing, the testing phases or part of them performed by intelligent methods, in order to reduce human role in the process. Automatic testing has several advantages such as increase testing speed, quality and reliability, decrease testing resources and costs. In this paper, after explaining software testing phases, we classified methods which can use in automated software testing phases based on previous researches with aim to reach above advantages. This method classification has performed based on their applications in software testing phases and effects on test automation.
منابع مشابه
Intelligent and Automated Software Testing Methods Classification: A Review
Since software applications increased rapidly in modern life, it is important to have enough reliability and minimizing the probability of faults in software products. Software testing is a process to finding faults in software products and increasing their reliability. Because testing process is very costly, automation techniques are need to reduce these costs and also, increase reliability. I...
متن کاملAn automatic test case generator for evaluating implementation of access control policies
One of the main requirements for providing software security is the enforcement of access control policies which aim to protect resources of the system against unauthorized accesses. Any error in the implementation of such policies may lead to undesirable outcomes. For testing the implementation of access control policies, it is preferred to use automated methods which are faster and more relia...
متن کاملیک سیستم هوشمند پزشکیار مبتنی بر شبکه عصبی مصنوعی در تشخیص بیماری دیابت
Backgrounds: Early detection of diabetes is critical to avoid complications and damage caused by this disease. The purpose of this paper is designing an intelligent system for Diabetes prediction (healthy or patient) by using regression method based on Multilayer Perceptron Neural Network. Methods: In this descriptive-analytic study, an intelligent system is designed to classification diabetes...
متن کاملA novel method based on a combination of deep learning algorithm and fuzzy intelligent functions in order to classification of power quality disturbances in power systems
Automatic classification of power quality disturbances is the foundation to deal with power quality problem. From the traditional point of view, the identification process of power quality disturbances should be divided into three independent stages: signal analysis, feature selection and classification. However, there are some inherent defects in signal analysis and the procedure of manual fe...
متن کاملMathematical Modeling for a Flexible Manufacturing Scheduling Problem in an Intelligent Transportation System
This paper presents a new mathematical model for a production system through a scheduling problem considering a material handling system as an intelligent transportation system by automated guided vehicles (AGVs). The traditional systems cannot respond to the changes and customer’s demands and for this reason, a flexible production system is used. Therefore, for this purpose, automated transpor...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008