Software Testing Stage Research Articles

Vehicle Tracking Application Based on Real Time Traffic

Vehicle tracking application is very important to track the movement of vehicles such as bus, train and taxi. One of the issues in vehicle tracking system is the accuracy of estimation time. With the help of technology, it is possible for the vehicle operators to provide accurate estimated time of arrival to the users. This paper aims to improve the accuracy of vehicle estimated time so that users can expect the arrival of the vehicle. An application is proposed in this paper and it uses Global Positioning System (GPS) on Android smartphone to determine the location of a vehicle and the coordinates is stored in Firebase Real-time Database which optimized for syncing of data in real-time. Furthermore, Google distance matrix Application Programming Interface (API) is used to calculate the estimated arrival time of the vehicle. Distance matrix API is able to return time of travel between two points, based on recommended route and traffic information. The prototype of application went through several stages of software testing and evaluation. Based on the users feedback the system is better in terms of estimating the arrival time.

Pengembangan Sistem Career Development Center

Alumnuses have a role in the college progress. one of the roles of alumnuses is that alumnuses provide input to college for mapping job market. Alumnuses inputs are obtained by college through tracer study at college career center. The Career Development Center (CDC) of the Cilacap State Polytechnic (PNC) conducts a tracer study process by sending a form link via short message to the group of alumnuses. The problem with this method is that the tracer study form can be filled out by everyone who has the link. On the other hand, the officer must re-enter the same list of questions for alumnuses in different years. This study aims to create a Career Development Center application that can help PNCs to monitor the distribution of alumnuses and help CDC disseminate job vacancy information. The method used in software development uses the waterfall method. At the software testing stage, the method used is blackbox testing. Based on the results of customer feedback, 30 respondents produced a very good predicate. The conclusion of this study, the development of the Career Development Center application can help spread alumni and help CDC disseminate job vacancies information to alumni.

Поиск ошибок в программах для обработки графических изображений с использованием метода фаззинга

Increasing number of software for automated graphics processing requires effective testing methods. One of these methods is fuzzing, for which it is necessary to determine the most effective algorithms for creating test data in order to increase the number of errors found and minimize hardware resources. The comparison of algorithms for creating test data for finding errors in the executable code of programs designed for processing graphic images is the result of the performed research. Using Bayesian networks to describe fuzzing allows determining the relationships between structural components during testing. Based on the results of the comparison of fuzzing algorithms for creating test data, the most effective algorithms for finding errors in the executable code of programs for processing graphic images have been identified. The performance of the proposed algorithms was tested on a number of existing vulnerabilities classified as CVE (Common Vulnerabilities and Exposures). The processing of the results of experiments on the creation of test data was carried out using the simulation environment, allowing analyzing the testing process step by step. The obtained research results, algorithms for creating test data for finding errors can be used at various stages of software testing

RANCANG BANGUN APLIKASI PEMANDU WISATA MUSEUM SUMBAWA BERBASIS ANDROID DENGAN MEMANFAATKAN QUICK RESPONSE CODE (QR CODE)

The Sumbawa Regional Museum is a storage and exhibition of Sumbawa Regency historic objects. This research aims to design and build application that can be used to manage the addition, updating or deletion of data objects from the Sumbawa Regional Museum collection and can be used by visitors of the Sumbawa Regional Museum to view information about museum collection objects by scanning the Quick Response Code (QR Code) which has been pasted on museum collection objects. Researcher built an application that can run on the android and web platforms, developed using the Java and PHP programming language, and using MySQL as a database. The software development method uses Waterfall Model until the software testing stage using the blackbox method. Data collection techniques in research using interview and documentation. The results of this research are museum tour guide application and museum collection data management

Practical Applications of Artificial Intelligence in Software Testing

This paper presents the use of artificial intelligence in each software testing stage. In this context, the necessity to use AI (artificial intelligence) in software testing with its effects and outcomes is discussed. Then, practical applications and the advantages are analyzed. The main goal is to make insights about what can be done in different stages of software testing by means of AI.

Search‐based software engineering for constructing covering arrays

Search-based software engineering involves the application of optimisation methods to solve software engineering problems. One of the most significant difficulties in testing software systems is the effort needed to build the test suites required to validate a software system, which efficiently exposes faults. Given the importance of the software testing stage, a specific sub-area known as search-based software testing has become relevant in recent years. In this work, a search-based software testing algorithm for constructing covering arrays is proposed. A covering array is a combinatorial structure that can be used as a set of test cases. By utilising this algorithm, the authors reduce the size of 893 test suites.

Deadlock detection in FPGA design: A practical approach

Formal verification of VHSIC Hardware Description Language (VHDL) in Field-Programmable Gate Array (FPGA) design has been discussed for many years. In this paper we provide a practical approach to do so. We present a semi-automatic way to verify FPGA VHDL software deadlocks, especially those that reside in automata. A domain is defined to represent the VHDL modules that will be verified; these modules will be transformed into Verilog models and be verified by SMV tools. By analyzing the verification results of SMV, deadlocks can be found; after looking back to the VHDL code, the deadlocking code is located and the problem is solved. VHDL verification is particularly important in safety-critical software. As an example, our solution is applied to a Multifunction Vehicle Bus Controller (MVBC) system for a train. The safety properties were tested well in the development stage, but experienced a breakdown during the long-term software testing stage, which was mainly caused by deadlocks in the VHDL software. In this special case, we managed to locate the VHDL deadlocks and solve the problem by the FPGA deadlock detection approach provided in this paper, which demonstrates that our solution works well.

Negative samples reduction in cross-company software defects prediction

ContextSoftware defect prediction has been widely studied based on various machine-learning algorithms. Previous studies usually focus on within-company defects prediction (WCDP), but lack of training data in the early stages of software testing limits the efficiency of WCDP in practice. Thus, recent research has largely examined the cross-company defects prediction (CCDP) as an alternative solution. ObjectiveHowever, the gap of different distributions between cross-company (CC) data and within-company (WC) data usually makes it difficult to build a high-quality CCDP model. In this paper, a novel algorithm named Double Transfer Boosting (DTB) is introduced to narrow this gap and improve the performance of CCDP by reducing negative samples in CC data. MethodThe proposed DTB model integrates two levels of data transfer: first, the data gravitation method reshapes the whole distribution of CC data to fit WC data. Second, the transfer boosting method employs a small ratio of labeled WC data to eliminate negative instances in CC data. ResultsThe empirical evaluation was conducted based on 15 publicly available datasets. CCDP experiment results indicated that the proposed model achieved better overall performance than compared CCDP models. DTB was also compared to WCDP in two different situations. Statistical analysis suggested that DTB performed significantly better than WCDP models trained by limited samples and produced comparable results to WCDP with sufficient training data. ConclusionsDTB reforms the distribution of CC data from different levels to improve the performance of CCDP, and experimental results and analysis demonstrate that it could be an effective model for early software defects detection.

The Study of the Requirement of Software Testability Based on Causal Analysis

Requirements for software testability is an important basis of design for software design of testability. During the software-testability-design work, a series of software design for testability measures must be taken to make software testing stage less detours, and formulation and implementation of requirements for software testing is an important element. This paper introduces a kind of develop-method of requirements for software testability. According as causal analysis, basing on manifestations of software testability, the method develops appropriate requirements for software testability for software system. Preface The software testability is referred to as a kind of attribute that aims to facilitate the application test and improve the location and correction of software error [. To a certain extent, the software testability can solve some problems facing the software test, such as helping the designer to develop the software that is easier to test, so as to reduce the test difficulty, save more test time and optimize the resource allocation. Therefore, the software testability has stood out as quite an important factor that has a great effect on the cost, time and labor allocation of software test, which are also closely related to the quality of software engineering [. Since the 1990s, the software testability has been widely concerned by the scholars both at home and abroad. According to the relevant literatures collected, the general research direction has been toward the measurement and analysis of the software testability [. It should be noted that a well developed scheme of the requirement of software testability can not only enhance the testability of the target software, but also serve as the evaluation criterion of the testability, which means that it will have special reference to the improvement on the software test [. Based on the casual analysis, this paper has sought to provide a whole set of the requirement of software testability and come up with a real case so as to approach the design issues of the software testability [. 1 The requirement of software testability

An automated tool for regression testing in web applications

Regression testing of web applications is a costly activity as it tends to generate more test cases than the previous stages of software testing. This cost can be reduced significantly by identifying and testing only the modified parts of a web application. This will require locating the changes that have been introduced in the web application from the previous version that was tested. In this paper we have introduced an automated tool for locating the changes in the web application which will thereby aid in effective regression testing of the application. This tool compromise of 3 parts, a) a web crawler that crawls the web application, b) an HTML DOM tree generator that generates the DOM tree for a specified web page, c) an comparator that compares the new DOM tree with a previous version of the DOM tree stored in our system.

Reliability Assurance Measures of CNC System Software

Based on the technology characteristics of CNC system software, the corresponding assurance measures are set for the reliability in design stage, program implementation stage and software testing stage respectively. CNC system software reliability is improved by modularizing program design and structure program design, code review and program readability, using different reliability testing methods. Finally the purpose is accomplished that the whole reliability of CNC system software is improved.

Improved RPPI Strategy for Software Reliability Analysis Basing on Multi-objective Optimizing Method

The RPPI Strategy is improved by involving in the testing costs as an evaluation factor. In software testing stage, the component software with both high RPPI value and low testing costs is given advantage to be tested. The new proposed method avoids the defects in common RPPI strategy, which is often impracticable because of too much extra testing costs. Since both the objective of higher RPPI value and the objective of low costs are simultaneously required, the problem is modeled as a multi-objective optimization problem and resolved by the optimization algorithm such as the goal programming method and the Pareto algorithm. The method proposed is practicable in software reliability analysis.

Modeling and Analysis of Software Fault Detection and Correction Process by Considering Time Dependency

Software reliability modeling & estimation plays a critical role in software development, particularly during the software testing stage. Although there are many research papers on this subject, few of them address the realistic time delays between fault detection and fault correction processes. This paper investigates an approach to incorporate the time dependencies between the fault detection, and fault correction processes, focusing on the parameter estimations of the combined model. Maximum likelihood estimates of combined models are derived from an explicit likelihood formula under various time delay assumptions. Various characteristics of the combined model, like the predictive capability, are also analyzed, and compared with the traditional least squares estimation method. Furthermore, we study a direct, useful application of the proposed model & estimation method to the classical optimal release time problem faced by software decision makers. The results illustrate the effect of time delay on the optimal release policy, and the overall software development cost.