INTRODUCTION
Software Testing can be termed as process of validating and verifying a computer program with intent to check whether it meets the requirements which guided in design and development, ensure that system works as expected, system is implemented with desired characteristics and satisfies the needs of its stake holders. This process consumes nearly 50% of product development costs, hence is a costly and time consuming process. The growing complexity of modern software applications has triggered tester’s interest in leveraging new approaches to improve software quality.
Software Testing is classified into following types based on the various criteria:
• Source of test generation.
• Life cycle phase in which testing takes place
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Test process models classify testing process based on the various Software Development Lifecycle models adopted in development process like Waterfall model, Spiral model, Agile model, Test driven development. The testing includes the corresponding tailored models of testing for the model used in SDLC.
Software testing is intended to find errors and defects during the software product development. Therefore sufficient effort is required to ensure that system is in line with the requirements of the corresponding phase. Manual generation of test cases and applying them on the System under Test (SUT) is a laborious process and depends on skill and expertise of the tester performing the process of testing. A test Engineer has to keep track of several issues during testing like what test cases shall exercise the program, ensure maximum coveragability, determine whether adequate testing has been done, check whether sufficient test cases are available to meet the testing requirements on time, approaches and methods involved in testing, extent of automation in testing etc.. As the above process involves much human intervention, the efficacy of the process is not consistent.
To ensure the better outcome as for the result of the efforts, the process of software testing needs to be automated. Automation of software testing involves testing the software with robust
Test Plan: The software is tested using two levels of testing viz. black box testing and white box testing. White box testing could be carried out in three different phases viz. unit testing system/integration testing and validation testing. • Unit Testing: Unit testing, also known as Module Testing, focuses verification efforts on the module. The module is tested separately and this is carried out at the programming stage itself.Unit Test comprises of the set of tests performed by an individual programmer before integration of the unit into the system. Unit test focuses on the smallest unit of software design- the software component or module. Using component level design, important control paths are tested to uncover errors within the boundary of the module. Unit test is white box oriented and the step can be conducted in parallel for
This chapter focuses on conducting the test case on each software unit and showing the obtained results in the form of snapshots taken where each snap describes the process being done.
For the system, which should never be failed, the reliability test of the software should be done. For this, the black box and white box testing should be done on the software. After the successful development of the software, a beta version should be released. The errors and bugs related to the security and functional requirements can be find out in an easy manner.
Programming testing is the methodology of executing a program or framework with the purpose of finding faults. Testing is a procedure of affirming that item is working as per the requirments, fulfilling the client needs. Programming testing gives a way to decrease errors, cut maintenance and general programming costs. Various programming testing strategies, techniques, and systems have developed in the course of the most recent couple of decades promising to improve programming quality. Programming testing is vital part in the product development life cycle. Two regular methodologies are white box testing and discovery testing. There are diverse scope measure for testability to the source code, for example, statement coverage, branch coverage and condition coverage. In the branch coverage we ensure that we execute each branch in any event once For conditional branches, this implies, we execute the TRUE branch in any event once and the FALSE branch in any event once conditions for conditional branches can be compound boolean expressions a compound boolean
Test environment information like IT environment, equipment environment, data, back up, restore and migration procedures
When a web application is developed with some specific goal in mind, those peculiarities which segregate them from any other software application also affects their testing in several ways. These changes may result in harder than traditional testing and to accomplish them successfully we need to employ different testing methodologies. Following are some of the most common testing methodologies available in the testing domain
Testing can be done either manually or automatically. Testing is an important and heavily used technique to measure and ensure software quality. It is part of almost any software project. The testing phase of typical projects take up to 50% of the total project effort, [1] and hence contributes significantly to the project costs. Any change in the software can potentially influence the result of a test. For this reason tests have to be repeated often. This is error-prone, time consuming and expensive. Automatic testing significantly reduces the effort of individual tests. This implies that performing the same test becomes cheaper, or one can do more tests within the same budget. Manual testing is time consuming, unreliable and costly while Automated testing in contrast is reliable and requires less investment in human resources.
“Software Testing is a process of evaluating a system or its components with the intention of checking whether the system developed satisfy the requirements. Testing is done for finding gaps, errors, or missing requirements causing hindrance to systems functionality”.
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.
Software testing is used to identify the precision extensiveness and quality of development software. It also includes the sets of activities. Software testing is an activity to check the expected outcome from the software so that it is really used to make the software proper and perfect. Software testing is used to minimize the errors, gaps, missing requirements in the software and make proper development in the software so that it hold the values in the market and to gain more popularity in the market of computing.
In this work the researcher describes an automated unit test case generator called Randoop. Randoop uses a technique that is inspired by random testing which is based on execution feedback. Feedback is gathered by executing the test inputs at the time of creation. The tests generated are unit tests. RANDOOP [4] creates method sequences incrementally, by randomly selecting a
A brief introduction of software testing and its types. And explaining how Automated software testing works when compared to manual testing, its pro’s and con’s.
Software testing is an important activity in software engineering, as it is used for examining the quality or capability of a software and conforms that it meets the desired output. There are several methods to do software testing, but testing a complex software efficiently is the process of investigating thoroughly, it is not like to follow a procedure or method merely. In complex software it is not possible to discover all the errors. In testing, this type of complex software always creates problem for tester and throws open questions like, “what would be the best strategy that we should follow?” Also, selecting a strategy is important decision as selecting right strategy will allow tester to work effectively and efficiently.
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.
Software testing is the process of executing the program with intend to find the errors.