In addition, we need to determine the correct result that should be expected from the system under test for each set of test inputs. But these challenges are common to all types of software testing, and a variety of good techniques have been developed for dealing with them. But what if some failure is triggered only by a very unusual combination of 3, 4, or more sensor values?
Combinatorial strategies are extended to generate invalid test inputs but the effectiveness of negative test scenarios is yet unclear. Therefore, we conduct a case study and analyze 434 failures reported as bugs of a financial enterprise application. As a result, 51 robustness failures are identified including failures triggered by invalid value combinations and failures triggered by interactions of valid and invalid values. Using combinatorial methods for either configuration or input parameter testing can help make testing more effective at an overall lower cost.
Problems and algorithms for covering arrays via set covers
The details of the input space model (ISM) construction, such as factor identification and value assignment, are included. We compared the faults detected by CT with those detected by the in-house testing teams using other methods, and the results suggest that despite some challenges, CT is an effective technique to detect real faults, especially multi-factor faults, of software what is combinatorial testing systems in industrial settings. Observations and lessons learned are provided to further improve the fault detection effectiveness and overcome various challenges. Commonly known as all-pair testing, pairwise testing is a combinatorial method of software testing that for each pair of input parameter to a system, tests all possible discrete combinations of those parameters.
To demonstrate the huge testing challenge that software engineers face worldwide, we consider a highly simplified example of an online shopping system. A simplified business requirements document of the shopping system is given in Fig. 80% module and branch coverage, 88% statement coverage 15 faults found; 2-way tests found as many as 3-way. Efficient test bitstream generation method for verification of HEVC decoders.
IEEE Trans. Comp.
Most faults detected by 1-way and 2-way tests, with one caused by 4-way interaction. An empirical comparison of combinatorial testing, random testing and adaptive random testing. Abstract—Modern passenger cars have a comprehensive embedded distributed system with a huge number of bus devices interlinked in several communication networks.
Combinatorial testing of software analyzes interactions among variables using a very small number of tests. This advanced approach has demonstrated success in providing strong, low-cost testing in real-world situations. Introduction to Combinatorial Testing presents a complete self-contained tutorial on advanced combinatorial testing methods for real-world software. The evaluated results indicate that both techniques succeed in detecting security leaks in web applications with different results, depending on the background logic of the testing approach.
Studies have shown that combinatorial testing (CT) can be effective for detecting faults in software systems. By focusing on the interactions between different factors of a system, CT shows its potential for detecting faults, especially those that can be revealed only by the specific combinations of values of multiple factors (multi-factor faults). These research questions remain in the context of industrial settings. In this paper, we present an empirical study of CT on five industrial systems with real faults.
Also, we can save these models as well and export them to a different type of files. It also gives the user an option to import input configuration models. Another advantage of this tool is that it can use three different algorithms (FIPOG, FIPOG-F, FIPOG-F2) to generate the combinatorial object array. Since combinatorial testing follows a complex procedure and it can be a tedious task to manually perform this testing on many input parameters, we, therefore, use combinatorial testing tools.
- She received her BS and MS degrees in Computer Science from the Technion, Israel Institute of Technology and is currently pursuing her PhD degree from Tel Aviv University.
- In addition to the discussion of the implementation of combinatorial testing techniques in video game testing, we present a method for finding combinations resulting in video game bugs.
- For example, a router may be observed to fail only for a particular protocol when packet volume exceeds a certain rate, a 2-way interaction between protocol type and packet rate.
- One of the most commonly used combinatorial testing methods is the pairwise testing technique which involves testing all pairs of input variable values.
- Her research interests include all aspects of software quality, and particularly combinatorial testing, formal methods, and empirical software engineering.
The N-wise testing then would just be, all possible combinations from the above formula.
It helps establish an effective and feasible approach to capture function test coverage information that helps enhance the effectiveness of integration testing of the distributed software functions. This tool is the simplest to use because we just have to write the test factors and constraints (if any) and the test configurations are generated. This tool allows us to write the constraints using an If-Then format as shown below. Combinatorial testing tools are easy-to-use test case generators that allow to provision the input and constraints to the input parameter model and then generate the test configurations using the model. 3 presents a pairwise test plan for our online shopping system, as generated by the combinatorial testing tool IBM Functional Coverage Unified Solution (IBM FOCUS) [17, 18].