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Regression testing is done after needful changes, ensuring that changes are working as required and does not produce unexpected results for a system under test. Note worthy difficulty in regression testing is selection of significant subgroup of test cases. This paper has analyzed techniques of regression test selection (RTS) for test case optimization in various domains. The study identified most...
When binary tree SVM is used for multi-class fault diagnosis, inner-class distance or between-class distance is always used to decide the classification hierarchy, but these methods cannot take the comprehensive separability information between classes into account, which leads to decrease the accuracy of fault diagnosis easily, so an improved binary tree SVM method is proposed. Combining the separability...
Code coverage is one of the main metrics to measure the adequacy of a test case/suite. It has been studied a lot in academia and used even more in industry. However, a test case may cover a piece of code (no matter what coverage metric is being used) but miss its faults. In this paper, we studied several existing and standard control and data flow coverage criteria on a set of developer-written fault-revealing...
Cloud service testing ensures that services run properly and meet the Service Level Agreement (SLA) requirements. However, performance problems of a cloud service, such as the availability and reliability, are difficult to diagnose because these issues might be caused from different system components. To solve these problems, this study proposes an architecture for testing environment configuration...
Boundary scan test technology with its unique “virtual probe” characteristic provides a powerful means to solve the difficult problem of high density integrated test system components. It introduces the development of a more general boundary scan test system based on EDIF (Electronic Design Interchange Format). The hardware of the system is based on USB bus, including the PC, USB driver interface,...
Phased array antenna is widely used in military field, so the fault diagnosis of phased array antenna is an important research topic. Conventional near-field and far-field pattern testing methods consider all the radiating elements as a whole. These methods focus on how to measure the antenna pattern, and can hardly locate the antenna fault to single radiating element. To repair the phased array antenna,...
The ATRC-UAV system is a multifunction system with close subsystem component interactions. Considering its complexity, component hardware failures are no longer the only reason for flight testing accidents, and a comprehensive approach is needed for hazard analysis. Systems-Theoretic Process Analysis (STPA) is a novel technique based on systems theory rather than traditional reliability theories....
Debugging is an indispensable yet frustrating activity in software development and maintenance. Thus, numerous techniques have been proposed to aid this task. Despite the demonstrated effectiveness and future potential of these techniques, many of them have the unrealistic single-fault failure assumption. To alleviate this problem, we propose a technique that can be used to distinguish failing tests...
Dissolved Gas Analysis (DGA) is an established method for detecting and predicting faults contained in power transformers. Support Vector Machine (SVM) has been actively applied to classify faults using historic DGA data. However, redundant and irrelevant features can reduce SVM classification performance. Therefore, this study proposes the use of GA-SVM wrapper to eliminate these features and select...
Ever smaller nanotechnologies introduce new types of defects and fault mechanisms with negative influence on system on-chips (SoCs) reliability and operational life. This paper presents a fault diagnosis and repair procedure which is implemented into generic built-in self-repair architecture. The procedure utilizes on-line fault detection whereas repair is performed during off-line mode. Experimental...
This paper provides some background and the roadmap of the AUTO-CAAS project, which is a 3-year project financed by the Swedish Knowledge Foundation and is ongoing as a joint project among three academic and industrial partners. The aim of the project is to exploit the formal models of the AUTOSAR standard, developed by the industrial partner of the project Quviq AB, in order to predict possible future...
Based on principal component analysis (PCA) and support vector machine (SVM), a new method for the fault diagnosis of TE Process is proposed. The fault recognition based on kernel principal component analysis (KPCA) is analyzed and SVM is employed as a classifier for fault classification. To establish a more efficient SVM model, genetic algorithm (GA) is used to determine the optimal kernel parameter...
Mutation Testing is one of the most supportive black-box testing approaches that performs the operator based analysis over the program statements to analyze the impact of work. In this work, a decision tree based work is defined to generate the possible mutation for a java program. The decision tree is here defined to reduce the test cases so that the efficiency over the operator check will be obtained...
UAV ground testing system (referred to as: testing system) not only lacks of universality and scalability, also incapable of handling faculties during flying procedure. By using the new generation of automatic test system, LXI(LAN based eXtensions for Instrumentation), the flight simulation method and fault diagnosis technology, it achieves the purpose of expanding the testing system from ground to...
There exist corresponding relationships of state information between the suspension points of the maglev train. This essay carries on the statistics of monitoring data of all the suspension points, describes the distributed situation of the suspension points data frequently spotted in engineering practices, detects suspect values and abnormal values in the suspension system based on the steady estimator...
The aim of this work is to design an intelligent system for evaluating knowledge level of power plant operators who have completed training program. To build the evaluation system, skilled plant operator performance during fault conditions is simulated through expert system techniques. Rule based expert system developed, stores domain knowledge as set of rules. The system is integrated with Supervisory...
The paper puts forward a new thinking of UAV flight safety ground test and evaluation. It elaborates possible and ways of applying the ground test to verify and evaluate the UAV flight safety. On one hand, through combination of UAV airborne equipment fault diagnosis and prediction and comprehensive testing of data link will greatly enhance the ability of UAV flight safety and save test time and cost...
Condition monitoring and fault diagnosis of rotating machinery are very significant and practically challenging fields in industries for reducing maintenance costs. Fault diagnosis may be interpreted as a classification problem; therefore artificial intelligence-based classifiers can be efficiently used to classify normal and faulty machine conditions. K-means clustering is one of the methods applied...
With the extensive utilization of wireless sensor network, the requirement on improving its structure and complexity is increasing to a great extent. In order to solve the problems during the running process, the systems for testing and debugging come into being. This article did not only summarize the basic testing and debugging methods, testbeds and cases for wireless sensor network, but also summed...
A algebraic system, Test Algebra (TA), identifies faults in combinatorial testing for SaaS (Software-as-a-Service) applications. SaaS is a software delivery model that involves composition, deployment, and execution of mission application on cloud platforms. Testing SaaS applications is challenging because a large number of configurations needs to be tested. Faulty configurations should be identified...
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