Due to the tremendous development in the field of computer and software sciences, the theory of graphics has spread widely and quickly, even becoming one of the most important sciences that played a large role in solving many problems of many diverse applications. These applications include computer protocols, Google Maps, games and more. Many researches have discussed shortest path algorithms to solve the shortest path problem in these applications. In this study, a very popular algorithms called Dijkstra algorithm and Bellman-Ford algorithm are used to make a comparison between them on the basis of complexity and performance in terms of shortest path optimization. Our results show that Dijkstra is better than the Bellman-Ford interms of execution time and more efficient for solving the shortest path issue, but the algorithm of Dijkstra work with non-negative edge weights.

Software test cases can be defined as a set of condition where a tester needs to test and determine that the System Under Test (SUT) satisfied with the expected result correctly. This paper discusses the optimization technique in generating cases automatically by using EpiT (Eclipse Plug-in Tool). EpiT is developed to optimize the generation of test cases from source code in order to reduce time used for conventional manually creating test cases. By using code smell functionality, EpiT helps to generate test cases automatically from Java programs by checking its line of code (LOC). The implementation of EpiT will also be presented based on several case studies conducted to show the optimization of the test cases generated. Based on the results presented, EpiT is proven to solve the problem for software tester to generate test case manually and check the optimization from the source code using code smell technique.

Software testing is the investigation process required to give sufficient information about the quality of the program and its conformity with the specifications that have been identified by the customer and to find problems and errors before they are discovered when the system or program is run by the user. It has an important role in software engineering, which is essential to Software Quality Assurance (SQA). Due to increasing numbers of mobile applications users, testing of mobile application is an essential phase in developing any application to ensure that software has zero defects. For that, many software testing techniques and tools are developed, each having its own features to test software. This paper describes and gives general overview of different strategies of software testing techniques that commonly used for detecting errors in mobile applications, which are: White box testing, Black box testing, Gray box testing, Mutation testing, Regression testing and Fuzzy testing. The primary goal of this paper is to emerge the effective technique of the mobile application testing. As a result of the research, most of testing techniques are currently used in mobile testing include Mutation, Regression and Fuzzy testing. The White box testing and Black box testing techniques are rarely used. Also, the latest research into mobile application testing focuses on GUI testing of mobile applications.

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Currently, software complexity and size has been steadily growing, while the variety of testing has also been increased as well. The quality of software testing must be improved to meet deadlines and reduce development testing costs. Testing software manually is time consuming, while automation saves time and money as well as increasing test coverage and accuracy. Over the last several years, many approaches to automate test case creation have been proposed. Model-based testing (MBT) is a test design technique that supports the automation of software testing processes by generating test artefacts based on a system model that represents the system under test's (SUT) behavioral aspects. The optimization technique for automatically generating test cases using Sena TLS-Parser is discussed in this paper. Sena TLS-Parser is developed as a Plug-in Tool to generate test cases automatically and reduce the time spent manually creating test cases. The process of generating test cases automatically by Sena TLS-Parser is be presented through several case studies. Experimental results on six publicly available java applications show that the proposed framework for Sena TLS-Parser outperforms other automated test case generation frameworks. Sena TLS-Parser has been shown to solve the problem of software testers manually creating test cases, while able to complete optimization in a shorter period of time. Keywords-Software testing; schema parser; software under test (SUT); model based testing (MBT); java applications 397 | P a g e www.ijacsa.thesai.org