Then it takes the best possible decision for the given the input. Experiments were conducted to verify the proposed measurement using real data from actual software testing projects. Fuzzy logic are used in natural language processing and various intensive applications in artificial intelligence. Fuzzing or fuzz testing is an automated software testing technique that involves providing invalid, unexpected, or random data as inputs to a computer program. These consist of fuzzy logic system, neural network model and genetic algorithm techniques. The task becomes difficult when the source code is not available. Related issues like the software quality features and fuzzy reasoning for test project similarity measurement are discussed, which can deal with quality and. Many researchers in software engineering have addressed the effectiveness and quality metric of software testing, and many interesting results have been obtained. Something similar to the process of human reasoning. Is it possible to apply fuzzy logic to software testing. Fuzzy logic algorithm helps to solve a problem after considering all available data. It can be implemented in systems with various sizes and capabilities ranging from small microcontrollers to large, networked, workstationbased control systems. This is the set of rules along with the ifthen conditions that are used for making decisions. In this paper, we presented a novel software testing metric technique for assertionbased software testing that is based on fuzzy logic technology.
Aug, 20 software testing is one of the important processes of software engineering discipline. Research a programmers guide to the fuzzy logic ramp. Fuzzy logic is a fascinating area of research because it does a good job of trading off between significance and precision something that humans have been managing for a very long time. Based testing metrics technique that is based on fuzzy logic. Using fuzzy logic techniques for assertionbased software testing metrics 1. Bootkits keyloggers screen scrapers exploits backdoors logic bombs payloads denial of service web shells web application security phishing.
Fuzz testing describes system testing processes that involve a randomized or distributed approach. Program assertions have been recognized as a supporting tool during software development, testing, and maintenance. Testing of graphical user interfaces guis was a neglected research area till last decade 4. Software design, integration, testing, and evaluation. The software quality features and analogybased reasoning are discussed, which can deal with quality and. Among these, fuzzy logic and neural network techniques are broadly used to assess software reusability, software maintainability, software understandability etc. In fuzzy logic setting, exact rules and membership functions are difficult tasks. An efficient strategy for covering array construction with. Pdf on adaptive testing with fuzzy logic victor garcia. M, faridabad, haryana abstract software testing is one of the most important. Nov 29, 2008 inverted pendulum controlled by a plc with a fuzzy logic software package. Tools can take the drudgery out of the more tedious development and testing tasks and let us get back to what we love.
Nov 02, 2012 we will demonstrate how we used fuzzy testing based on junit 4 and emf to find bugs in the implementation of a real world application. Prediction of software reliability using neural network. Software testing process is time consuming and costly, so the size of test suite plays an important role. Using fuzzy logic techniques for assertionbased software. Fuzzy logic systems fls produce acceptable but definite output in response to incomplete, ambiguous, distorted, or inaccurate fuzzy input. Developing a reliable software system, several issues need to be addressed. Guaje stands for generating understandable and accurate fuzzy models in a java environment. A fuzzy logic ramp metering algorithm was implemented on 126 ramps in the greater seattle area. American fuzzy lop fuzzer concolic testing monkey testing random. It professionals often use the term to talk about efforts to stress test applications by feeding random data into them in order to spot any errors or hangups that may occur. We estimate the quality cost taking place during the software development for an upgraded avionic suite in a fighter aircraft and demonstrate that applying fuzzy logic methodology can yield results comparable to probabilistic calculations less than 4% difference in each of five vvt cost categories. Evaluation of a fuzzy logic ramp metering algorithm. The main goal of the proposed technique is to enhance the. An estimation of software reusability using fuzzy logic.
What is the role of fuzzy logic in algorithmic trading. The fl method imitates the way of decision making in a human which consider all the possibilities between digital values t and f. The work presents the use of fuzzy logic to develop an expert system, capable of selecting the test cases retaining the effectiveness and efficiency while at the same time reducing the number of test cases. Free software for generating understandable and accurate fuzzy systems. To develop fuzzy logic protocols, we have to integrate rulebased programming. The fuzzy logic works on the levels of possibilities of input to achieve the definite output. However, in a wider sense fuzzy logic fl is almost synonymous with the theory of fuzzy sets, a theory which relates to classes of objects with unsharp boundaries in which membership is a matter of degree.
Modeling software testing costs and risks using fuzzy. Modeling software testing costs and risks using fuzzy logic. The main goal of the proposed technique is to enhance the performance of assertionbased. Request pdf a fuzzy logic based approach for software testing. We estimate the quality cost occurring during the development of software for an avionic suite in a fighter aircraft and demonstrate that applying fuzzy logic. Research in testing has received considerable attention in the last two decades 2,8,20,14. This is especially true for security testing where the goal is not to prove that the software does what it is supposed to do, but rather that it doesnt do what its. In this paper, we present an assertionbased testing metrics technique that is based on fuzzy logic. The idea behind fuzz testing is that software applications and systems.
If the address matches an existing account you will receive an email with instructions to reset your password. Using fuzzy logic in test case prioritization for regression testing. Regression testing calls for selection of appropriate test cases after modification have been made in the software. When an exact match is not found for a sentence or phrase, fuzzy matching can be applied. Assertionbased software testing metrics approach based on. How to provide costeffective strategies for software testing has been one of the research. Fuzzy logic systems software free download fuzzy logic systems.
Fuzzy logic is not always correct, so the results are based on assumptions and may not be widely accepted. In this paper, we develop appropriate fuzzy logic models and utilize similar raw data to compute quality costs under a fuzzy logic paradigm i. Modeling software testing costs and risks using fuzzy logic paradigm. Feb 20, 2020 fuzzy logic can be programmed in a situation where feedback sensor stops working. You can use fuzzy logic toolbox software with matlab technical computing software as a tool for solving problems with fuzzy logic. Gohner, prioritization of test cases using software agents and fuzzy logic, in proceedings of the 5th ieee international conference on software testing, verification and validation icst 12, pp. Therefore, many software testing techniques to automate the process of software testing have been reported in the literature. So far it helped in detection of significant software bugs in dozens of major free software projects, including x. In a narrow sense, fuzzy logic is a logical system, which is an extension of multivalued logic. Experimental results show that the proposed fuzzy logic based metrics is effective and efficient to measure and evaluate the quality and effectiveness of test projects.
Software testing optimization through test suite reduction. Fuzzy matching is a method that provides an improved ability to process wordbased matching queries to find matching phrases or sentences from a database. The fuzzy logic designer app lets you design and test fuzzy inference systems for modeling complex system behaviors. Fuzzy cause effect models of software testing artificial. Fuzzing or fuzz testing is an automated software testing technique that involves providing. A programmers guide to the fuzzy logic ramp metering algorithm. The architecture of fuzzy logic consists of the following components. M, faridabad, haryana 2 assistant professor, department of computer science, b. For details on the code, see the technical report a programmers guide to the fuzzy logic ramp metering algorithm. Inverted pendulum controlled by a plc with a fuzzy logic software package. It was designed to allow the computer to determine the distinctions among data which is neither true nor false.
Org server, php, openssl, pngcrush, bash, firefox, bind, qt, and sqlite. Thus, it is a free software tool licensed under gplv3 with the aim of supporting the design of interpretable and accurate fuzzy systems by means of combining several preexisting open source tools. The strategy is applicable to software testing activities in which the combination of input configurations is considered. The proposed test case selection model in treats the software under test as a black box. Using fuzzy logic in test case prioritization for regression. The paper deals with the features of the software testing effort ste estimation problem by proposing a novel fuzzy model by integrating cocomo, fuzzy logic and weighing techniques, test effort drivers teds into a single platform. Recently, a test case prioritization concept that is based on software agents and fuzzy logic was reported in. Fuzzy logic is all about the relative importance of precision. Software testing is a very labor intensive and costly task. Introduction testing is widely recognized as a key quality assurance qa activity in the software development process. Fuzzy logic is used with neural networks as it mimics how a person would make decisions, only much faster. Warm and fuzzy stickyminds stickyminds software testing. Implementation of regression testing using fuzzy logic. But, modern developments in fuzzy logic have reduced the number of rules in the rule base.
Fuzzy logic are extensively used in modern control systems such as expert systems. I am going to describe how we can divide big amount of scenarios to several groups using math. Using neural network and fuzzy logic techniques for predicting software reliability sultan aljahdali on. Mar 17, 2020 fuzzy logic has been applied to various fields, from control theory to ai. How important is it to be exactly right when a rough answer will do. To this end, a new quality and effectiveness measurement based on fuzzy logic is proposed. Open the products section in the treeview on the left for further details, open the download page to download demonstration and simulation software, or open the fuzzy application library for application notes and case studies. In that research, software agents are used to gather.
However, adding fuzzy logic to the pso would have extra computational requirements. However, one issue of paramount importance in software testing the intrinsic imprecise and uncertain relationships within testing metrics is left unaddressed. This paper makes an attempt to estimate reliable software testing effort using fuzzy logic. A test suite is developed for the initial version of the software and reused to test each successive version of the software.
Using fuzzy logic techniques for assertionbased software testing. Optimizing software testing using fuzzy logic in aspect. This is a test of the equipment before the packexpo 2003. Optimizing software testing using fuzzy logic in aspect oriented programming jyoti1, susheela hooda2 1student, department of computer science, b. These set of rules are also called a knowledge base. The main goal of the proposed technique is to enhance. Fuzzy logics fuzzy inference systemfis is the one that solves the complexities in the algorithms.
The main goal of the proposed approach is to enhance the performance of assertionbased software testing in the presence of large number of assertions. Software reuse is defined as software development with several existing modules. The program is then monitored for exceptions such as crashes, failing builtin code assertions, or potential memory leaks. Sep 11, 2008 automated tools are essential to software development. Artificial intelligence fuzzy logic systems tutorialspoint. This report documents the implementation of the fuzzy logic ramp metering algorithm at the northwest district of the washington state department of transportation. Test case prioritization using fuzzy logic for gui based software. Using fuzzy logic techniques for assertionbased software testing metrics. This programmers guide contains the software design for the new and modified code, the.
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