There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

In 1974 an article appeared in Science magazine with the dry-sounding title “Judgment Under Uncertainty: Heuristics and Biases” by a pair of psychologists who were not well known outside their discipline of decision theory. In it Amos Tversky and Daniel Kahneman introduced the world to Prospect Theory, which mapped out how humans actually behave when faced with decisions about gains and losses, in contrast to how economists assumed that people behave. Prospect Theory turned Economics on its head by demonstrating through a series of ingenious experiments that people are much more concerned with losses than they are with gains, and that framing a choice from one perspective or the other will result in decisions that are exactly the opposite of each other, even if the outcomes are monetarily the same. Prospect Theory led cognitive psychology in a new direction that began to uncover other human biases in thinking that are probably not learned but are part of our brain’s wiring.

Thinking fast and slow.

Technical foundations introduction software reliability and system reliability the operational profile software reliability modelling survey model evaluation and recalibration techniques practices and experiences best current practice of SRE software reliability measurement experience measurement-based analysis of software reliability software fault and failure classification techniques trend analysis in validation and maintenance software reliability and field data analysis software reliability process assessment emerging techniques software reliability prediction metrics software reliability and testing fault-tolerant SRE software reliability using fault trees software reliability process simulation neural networks and software reliability. Appendices: software reliability tools software failure data set repository.

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Handbook of software reliability engineering

As computing becomes a mainstream discipline embedded in the school curriculum and acts as an enabler for an increasing range of academic disciplines in higher education, the literature on introductory programming is growing. Although there have been several reviews that focus on specific aspects of introductory programming, there has been no broad overview of the literature exploring recent trends across the breadth of introductory programming. This paper is the report of an ITiCSE working group that conducted a systematic review in order to gain an overview of the introductory programming literature. Partitioning the literature into papers addressing the student, teaching, the curriculum, and assessment, we explore trends, highlight advances in knowledge over the past 15 years, and indicate possible directions for future research.

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Introductory programming: a systematic literature review

DevOps and software quality: A systematic mapping

Object-oriented has been widely used in software development. Hence, learning object-oriented concepts is crucial in undergraduate Computer Science or Information Technology programs. Learning object-oriented programming requires high concentration to understand the whole concepts before embarking on the practical aspect. It could be difficult for some students especially novices. In addition, lecturers might not be able to explain the subject effectively due to many factors. This research aims to justify and investigate more aspects to support the understanding of object-oriented concepts through games. Game is one of the approaches that could attract students' attention and increases their focus in learning object-oriented theory and practice. This paper reports a feasibility study using a controlled experiment that investigated the effect of using games in learning object-oriented programming among Computer Science students. The findings show that learners prefer using game as compared to traditional approach of teaching. Based on the study, we propose a more effective game-based approach to support the students in learning object-oriented concepts and programming.

Game-based approach and its feasibility to support the learning of object-oriented concepts and programming

We examine two active and popular open source products to observe whether or not open source software has a different defect arrival rate than software developed in-house. The evaluation used two common models of reliability growth models; concave and S-shaped and this analysis shows that open source has a different profile of defect arrival. Further investigation indicated that low level design instability is a possible explanation of the different defect growth profile.

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Reliability Growth of Open Source Software Using Defect Analysis

DevOps is an intermarriage between developmental practices and operational modalities. The methodology employs the practices of continuous integration and delivery and places the deployment pipeline as the main requirement to automate, deliver and operate software in a robust way, without compromising on the quality in the software development process. Over time, many systems and tools have been developed to implement the deployment pipeline and support the continuous delivery process. A pipeline splits the process of software delivery into various stages. Each stage is designed to verify the quality of new features from a new perspective to attest to the functionality and prevent either small or big errors from impacting the end users. The pipeline must provide a response and feedback loop to the concerned team and provide a window into the flow of changes that takes place. However, there is no clear rule to define what goes into a pipeline. This paper reviews the challenges of quality assurance of DevOps and provides tentative recommendations to deal with quality issues. Our proposed pipeline with analytic features is expected to provide accurate metrics on a real-time basis.

Managing Quality Assurance Challenges of DevOps through Analytics

As commercial developers have established processes to assure software quality, open source software depends largely on community usage and defect reporting to achieve some level of quality. Thus, quality of open source software may vary. We examined defects reported in two active and popular open source software projects and an in-house project. The results of this analysis indicate that the reliability growth of each is quite distinct and that the defect profile of open source software appears to be a consequence of the open source software development method itself.

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Sharifah Mashita Syed-Mohamad

Papers

Game-based approach and its feasibility to support the learning of object-oriented concepts and programming

Reliability Growth of Open Source Software Using Defect Analysis

Managing Quality Assurance Challenges of DevOps through Analytics

A Comparison of the Reliability Growth of Open Source and In-House Software

Towards Auto-labelling Issue Reports for Pull-Based Software Development using Text Mining Approach