Risk-based test case prioritization using a fuzzy expert system
نویسندگان
چکیده
منابع مشابه
Test Case Prioritization Using Fuzzy Logic Based on Requirement Prioritizing
Boolean expressions are popularly used for modelling decisions or conditions in specifications or source programs and they are very much prone to introduction of faults. Even for a Boolean expression with few numbers of literals the possible number of test cases can be quite large. Boolean expressions with n variables require 2 n test cases to distinguish from faulty expression. In practice, n ...
متن کاملA Vulnerability Prioritization System Using A Fuzzy Risk Analysis Approach
In this work, we present a fuzzy systems approach for assessing the relative potential risk associated with computer network assets exposed to attack by vulnerabilities. We use this approach to rank vulnerabilities so that analysts can prioritize their work based on the potential risk exposure of assets and networks. We associate vulnerabilities with individual assets, and therefore networks, a...
متن کاملPREDICTING URBAN TRIP GENERATION USING A FUZZY EXPERT SYSTEM
One of the most important stages in the urban transportation planning procedure is predicting the rate of trips generated by each trac zone. Currently, multiple linear regression models are frequently used as a prediction tool. This method predicts the number of trips produced from, or attracted to each trac zone according to the values of independent variables for that zone. One of the main li...
متن کاملMulti-Criteria Test Case Prioritization Using Fuzzy Analytic Hierarchy Process
One of the key challenges in software testing today is prioritizing and evaluating test cases. The decision of which test cases to design, select and execute first is of great importance, in particular considering that this needs to be done within tight resource constraints on time and budget. In practice, prioritized selection of test cases requires the evaluation of different test case criter...
متن کاملA Fuzzy Expert System & Neuro-Fuzzy System Using Soft Computing For Gestational Diabetes Mellitus Diagnosis
Gestational diabetes mellitus (GDM) is a kind of diabetes that requires persistent medical care in patient self management education to prevent acute complications. One of the common and main problems in diagnosis of the diabetes is the weakness in its initial stages of the illness. This paper intends to propose an expert system in order to diagnose the risk of GDM by using FIS model. The knowl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information and Software Technology
سال: 2016
ISSN: 0950-5849
DOI: 10.1016/j.infsof.2015.08.008