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Deep neural networks (DNN) are being used in a wide range of applications including safety-critical systems. Several DNN test generation approaches have been proposed to generate fault-revealing test inputs. However, the existing test generation ...

Testing deep neural networks (DNNs) has garnered great interest in the recent years due to their use in many applications. Black-box test adequacy measures are useful for guiding the testing process in covering the input domain. However, the absence of ...

Automated test case generation tools help businesses to write tests and increase the safety net provided by high regression test coverage when making code changes. Test generation needs to cover as much as possible of the uncovered code while avoiding ...

With the benefits of reducing time and workforce, automated testing has been widely used for the quality assurance of mobile applications (APPs). Compared with automated testing, manual testing can achieve higher coverage in complex interactive ...

Adequate testing of safety-critical systems is vital to ensure correct functional and non-functional operations. Previous research has shown that testing such systems requires a lot of effort, thus automated testing techniques have found a certain ...

Due to the importance of web application testing techniques for detecting faults and assessing quality attributes, many research papers were published in this field. For this reason, it became essential to analyse, classify and summarise the research in ...

Knowing how exactly a bug has been introduced into the code can help developers debug the bug efficiently. However, techniques currently used to retrieve Bug Inducing Commits (BICs) from the repository timeline are limited in their accuracy. Automated ...

Students' experience with software testing in undergraduate computing courses is often relatively shallow, as compared to the importance of the topic. This experience report describes introducing industrial-strength testing into CMPSC 156, an upper ...

The artifact used for the experimental evaluation of Distribution-Aware Testing of Neural Networks Using Generative Models is publicly available on GitHub and it is reusable. The artifact consists of python scripts, trained deep neural network model ...

The reliability of software that has a Deep Neural Network (DNN) as a component is urgently important today given the increasing number of critical applications being deployed with DNNs. The need for reliability raises a need for rigorous testing of the ...

Dynamic Random Access Memory (DRAM) standards have evolved for higher bandwidth, larger capacity, and lower power consumption, so their specifications have become complicated to satisfy the design goals. These complex implementations have significantly ...

The trend of connected/autonomous features adds significant complexity to the traditional automotive systems to improve driving safety and comfort. Engineers are facing significant challenges in designing test environments that are more complex than ...

It is a continuous struggle to understand how much a product should be tested before the delivery to the market. Ericsson decided to evaluate the adequacy of unit test coverage criterion that they employed for years as a guide for sufficiency of ...

We study code coverage in several popular Python projects: flask, matplotlib, pandas, scikit-learn, and scrapy. Coverage data on these projects is gathered and hosted on the Codecov website, from where this data can be mined. Using this data, and a ...

Using refactoring techniques is known as a good practice to enhance the software quality either by decreasing the complexity or enhance the behaviour of the software. Here, we conduct a study using inline method refactoring technique to investigate the ...

Software testing is a widely used technique to ensure the quality of software systems. Code coverage measures are commonly used to evaluate and improve the existing test suites. Based on our industrial and open source studies, existing state-of-the-art ...

Communication devices such as routers and switches play a critical role in the reliable functioning of embedded system networks. Dozens of such devices may be part of an embedded system network, and they need to be tested in conjunction with various ...

Though a large number of test coverage metrics have been proposed in the context of unit and system testing of object oriented programs, structural coverage metrics for integration testing have scarcely been reported. In this context, we propose an ...

This paper presents a distributed implementation for a genetic algorithm, using Apache Spark, a fast and popular data processing framework. Our approach is rather general, but in this paper the parallelized genetic algorithm is used for test data ...

There is no metric that determines how well the implementation of a ticket has been tested. As a consequence, code changed within the context of a ticket might unintentionally remain untested and get into production. This is a major problem, because ...