2. Related works
Some of the recent work related to the automated test data generation is listed below:
Search-based approaches have been extensively applied to solve the problem of software test-data generation. Yet, test-data generation for object-oriented programming (OOP) is challenging due to the features of OOP, e.g., abstraction, encapsulation, and visibility that prevent direct access to some parts of the source code. To address this problem Abdelilah Sakti et al. [26] have presented an automated search-based software test-data generation approach that achieves high code coverage for unit-class testing. The test-data generation problem for unit-class testing to generate relevant sequences of method calls were described at first.
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A set of search heuristics targeted to OCL constraints to guide test data generation and automate MBT in industrial applications was proposed. These heuristics for three search algorithms: Genetic Algorithm, (1+1) Evolutionary Algorithm, and Alternating Variable Method were evaluated. Empirically evaluated the heuristics using complex artificial problems, followed by empirical analyses of the feasibility of our approach on one industrial system in the context of robustness testing.
A feature model is a compact representation of the products of a software product line. The automated extraction of information from feature models is a thriving topic involving numerous analysis operations, techniques and tools. Performance evaluations in this domain mainly rely on the use of random feature models. However, these only provide a rough idea of the behaviour of the tools with average problems and are not sufficient to reveal their real strengths and weaknesses.
Sergio Segura et al. [28] have proposed to model the problem of finding computationally hard feature models as an optimization problem and solved it using a novel evolutionary algorithm for optimized feature models (ETHOM). Tool and an analysis operation were given in ETHOM generated input models of a predefined size maximizing aspects such as the execution time or the memory consumption of the tool when performing the
One of the greatest patterns in mechanized test in the course of the most recent three decades has been the movement toward PC-based secluded stages that utilization the most recent business off-the-rack (COTS) registering innovations with progressively capable processors, new I/O transports, and more propelled OSs. While this pattern is liable to proceed with, a totally new class of processing gadgets, to be specific tablets and cell phones, has risen as of late to offer new open doors for ground breaking associations to exploit COTS advancements in mechanized test frameworks.
This report will first examine the Testing Process Summary. This will include a definitive test plan which will identify the major functions of the systems software and hardware to be tested as well as the required system outcomes. Secondly, the installation process and training plan summary will be identified. For this portion of the writing, a Gantt chart will be used to identify the steps and related resources needed to implement the system. A narrative explanation that will discuss the impacts of time and conversion will be included. A description of the training plan will also be outlined. The third section of this writing will summarize the company documentation plan. This will
In general, the testers encounter the problem of removing the logical errors and bugs. The test conditions which are decided in the analysis phase are applied to the
Software testing is an important means of accessing quality of software which is an essential, but time and resource consuming activity in the software development process. Though a lot of advancements have been done in formal methods and verification techniques, still we need software to be fully tested before it could be handled to the customer. Thus there are a number of testing techniques and tools made to accomplish the task. Software testing is an important area of research and a lot of development has been made in this field and gaining more and more importance in the future. Test automation has been done to reduce the cost of testing. Traditionally the test automation has been focused mainly on automating the test management and test execution. Unfortunately, the test design often still remains a manual activity. The test design itself concerns making the decisions on
There are many existing tools like Quality Center which is licensed by HP. All the stages are designed and implemented manually from requirement analysis, designing test plan, developing test scenarios, writing test cases, executing the test cases, defect reporting etc. The problems with manual testing are time consuming and non-reusable and no scripting facility, manual effort required and few errors are uncovered [1]. Manual Testing is preferred to review the application requirements, and to create the High Level design Documents and Low level design Documents [3].
In data flow testing, the program graph for the software component under test is further analyzed. Data flow
Software testing provides an objective, independent view of the software which allows understanding the risks of software implementation. Various testing techniques are available for different kinds of software available in the field. These techniques include the process of executing a program or application with the aim of finding software bugs. Evaluation of the testing strategies is important in order to achieve the progress in testing. Automatically generated test cases are usually evaluated in terms of their fault finding capability. It is
Test cases are generated from the requirements of web application using various testing approaches such as boundary value analysis, equivalence partitioning and systematic test (unit test, integration test, and system test).
Amongst the various processes in the Software Development Life Cycle, Software Testing is the one which ensures the quality of the product or service is maintained and Automated Software Testing is the most efficient way of doing it. This paper focuses on the importance of automated software testing, its benefits in software engineering and some of the prominent techniques for test automation. Automated Testing is in a huge demand in the current business world due to its efficient and cost effective techniques. There is an urge for enhanced software development in the current Information Technology Industry and that there has to be a testing technique to match that development. Automated software testing is a process by which fast, proficient and low cost testing can be achieved with a significant low manual work. It prevents the steps of manual test cases and generates automated test scripts using an automated software tool to shorten the testing life cycle with respect to time as well as cost.
Integration testing is a systematic technique for constructing the software architecture while at the same time conducting tests to uncover errors associated with interfacing. The different modules in our project were interfaced and tested in small increments, thus making the errors easy to isolate and correct. This is known as incremental
To verify the expected outputs , test oracle is used.The test case results are verified by using test oracle. Manual testing is expensive and inefficient, automated testing and test oracles help in increasing efficiency as well as costs of the tests. Since automation testing is reliable form of testing a software but it does not provide complete test automation for all situations.This paper elaborates on the process of how test oracles are created as well as used and the challenges that hinder complete automation testing of the application.
Daz et al. [47] derived a Tabu Search Generator (TSGen) for automatic structural software testing with intensified and diversified search to attain high branch coverage. It also uses memory mechanisms and backtracking to escape
To provide an overview of the various tools and techniques available for software testing, the coursework comprised of five assignments. Each assignment was to study, how to use an existing testing tool or technique to aid the process of verification and validation of the software.
In the previous chapter the role and importance of automation, university and software testing has been defined to the acknowledgement of such fields. It is virtually impossible to produce a program without any error; here in this chapter the most common problem of software development, which is Errors, faults and bugs are defined. A software bug can be defined as that part of the code which would result in an error, fault or malfunctioning of the program. Some bugs can be detected easily during development, but some bugs will be found late in the development process. The goal of testing is systematical detection of different classes of errors in a minimum amount of time and minimum amount of effort. To provide an error free software for