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Poor software quality results in avoidable costs of trillion dollars annually in the United States alone. Augmented Reality (AR) applications are a relatively new software category. Currently there are no standards to guide the development process and testing is predominantly ad hoc and manual. Consequently, design guidelines and software test automation techniques are intended to remedy the situation. Here, we present a concept for test automation of AR applications. The concept consists of two parts: design guidelines and process model for testing AR applications, and a case study with a prototype application for test automation. The design guidelines and the process model are based on the state-of-the-art. The prototype application presented in this article demonstrates test automation for a multi-platform AR application for Android devices as well as the HoloLens 2. The presented test automation case study is designed to cover a large part of the functions, such as the different interaction variants. This research work shows that by using the proposed process model and test automation techniques, testing of some features of AR applications can be automated. The results of this research can serve as a basis for future research and contribution towards AR application development standardization efforts. [ABSTRACT FROM AUTHOR]

The article provides information on the innovative tests developed by the Red Team of Carnegie Mellon University that were effective tools for measuring the driving skill of autonomous ground vehicles (AGV) in the 2005 Defense Advanced Research Projects Agency Grand Challenge in the U.S. The blind path-tracking, perception-tracking, and perception-planning tests evaluate how the unit changes in hardware and software affected the driving ability of the robots. The blind-tracking test is useful in measuring the ability of an AGV to blindly follow waypoints, while perception-tracking is a good tool for measuring the effects of perception on path-tracking and the perception-planning test is useful in measuring the capability of AGV to dynamically adapt to items impeding the preplanned path.

This article presents information on several congresses and conventions related to software testing to be held during the year 1995. COMPASS '95: The 10th Annual Conference on Computer Assurance to be held in Gaithersburg, Maryland during June 26-30. The Fourth Software Quality Conference will be organized in Dundee, Scotland from July 4 to 5. The conference is sponsored by the University of Abertay, Dundee and Napier University, Edinburgh.

This article presents information on several congresses and conventions related to software testing to be held during the year 1994. The Twenty-Fourth Annual International Symposium on Fault-Tolerant Computing will be held in Austin, Texas during June 15-17. The symposium is sponsored by the IEEE Computer Society and the University of Texas at Austin. The 14th International Conference on Distributed Computing Systems, sponsored by the IEEE Computer Society, Polskie Powarzystwo Informatyczne, will be held in Poznan, Poland during Hune 21-24.

This article presents information on several congresses and conventions related to software testing to be held during the year 1994. DCCA-4: Fourth IFIP Working Conference on Dependable Computing for Critical Applications will be held in San Diego, California during January 4-6. 7th CSEE: Seventh Conference on Software Engineering Education will take place in San Antonio, Texas during January 5-7. It is sponsored by the Carnegie Mellon University Software Engineering Institute.

The article focuses on the history of inspection practices in software engineering and its wide dissemination in various industries. It was stated that software inspections, which was adopted by the U.S. National Aeronautics and Space Administration (NASA) since late 1980s and early 1990s, was considered one of the best example of evidence-based innovation-diffusion. According to the authors, inspections are among the most mature and best-studied practices in software engineering. It is also conceived as a powerful tool for finding problems in systems. However, the authors believe that relying on inspection process has disadvantages.

The complete automation of software tests has been considered to be an unattainable goal. This article discusses the potential to achieve this goal with recent discoveries and innovations in the areas of virtual reality (VR), artificial neural networks (ANNs), and artificial intelligence (AI). In this study, a theoretical proposal is described to integrate the properties of each of these areas using a process of automation of software tests. This process is based on a classification and description of the properties after consulting the literature, interviews, and dialogs with specialists from Australia, the United States, Germany, and Colombia. In addition to the experiences of the researchers, the construction of two tools is proposed: (1) a robot to design and apply functional tests, and (2) a virtual machine to identify errors in the logical structure of the code. Both tools are expected to replace human factors; the advantage is that the first tool identifies procedural flaws and the second errors of operation. [ABSTRACT FROM AUTHOR]