652,487 research outputs found

    History of visual systems in the Systems Engineering Simulator

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    The Systems Engineering Simulator (SES) houses a variety of real-time computer generated visual systems. The earliest machine dates from the mid-1960's and is one of the first real-time graphics systems in the world. The latest acquisition is the state-of-the-art Evans and Sutherland CT6. Between the span of time from the mid-1960's to the late 1980's, tremendous strides have been made in the real-time graphics world. These strides include advances in both software and hardware engineering. The purpose is to explore the history of the development of these real-time computer generated image systems from the first machine to the present. Hardware advances as well as software algorithm changes are presented. This history is not only quite interesting but also provides us with a perspective with which we can look backward and forward

    Review: The Technical and Social History of Software Engineering

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    In his recent book The Technical and Social History of Software Engineering, Capers Jones promises to fill a long-standing need for a text that gives readers an understanding of the history of software engineering. In this paper, I examine the extent to which Jones succeeds in meeting that promise

    Milestones in Software Engineering and Knowledge Engineering History: A Comparative Review

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    We present a review of the historical evolution of software engineering, intertwining it with the history of knowledge engineering because “those who cannot remember the past are condemned to repeat it.” This retrospective represents a further step forward to understanding the current state of both types of engineerings; history has also positive experiences; some of them we would like to remember and to repeat. Two types of engineerings had parallel and divergent evolutions but following a similar pattern. We also define a set of milestones that represent a convergence or divergence of the software development methodologies. These milestones do not appear at the same time in software engineering and knowledge engineering, so lessons learned in one discipline can help in the evolution of the other one

    git2net - Mining Time-Stamped Co-Editing Networks from Large git Repositories

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    Data from software repositories have become an important foundation for the empirical study of software engineering processes. A recurring theme in the repository mining literature is the inference of developer networks capturing e.g. collaboration, coordination, or communication from the commit history of projects. Most of the studied networks are based on the co-authorship of software artefacts defined at the level of files, modules, or packages. While this approach has led to insights into the social aspects of software development, it neglects detailed information on code changes and code ownership, e.g. which exact lines of code have been authored by which developers, that is contained in the commit log of software projects. Addressing this issue, we introduce git2net, a scalable python software that facilitates the extraction of fine-grained co-editing networks in large git repositories. It uses text mining techniques to analyse the detailed history of textual modifications within files. This information allows us to construct directed, weighted, and time-stamped networks, where a link signifies that one developer has edited a block of source code originally written by another developer. Our tool is applied in case studies of an Open Source and a commercial software project. We argue that it opens up a massive new source of high-resolution data on human collaboration patterns.Comment: MSR 2019, 12 pages, 10 figure

    What Do We Do When We Teach Software Engineering?

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    Many UK higher education institutions offer software engineering programmes, but the purpose and relevance of these programmes within computing science departments is not always obvious. The reality is that while advanced economies require many more skilled software engineers, universities are not delivering them. This is at least true in the context of the United Kingdom, where there are high numbers of software engineering vacancies and unemployed software engineering graduates. A possible explanation could be that curriculum content of software engineering programmes in universities needs to be reconsidered to meet the needs of industry. However, reconsidering curriculum content alone is unlikely to be transformative as there is little to be gained from changing to an emerging methodology, language or framework. Instead, an alternative direction could be to reconsider curriculum delivery and the identity of software engineering within computing science itself. In this paper, we contextualise the challenge by considering the history of software engineering education and some of its key developments. We then consider some of the alternative delivery approaches, before arguing cooperative programmes provide a opportunity for institutions to reconsider software engineering education

    Managing software engineers and their knowledge

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    This chapter begins by reviewing the history of software engineering as a profession, especially the so-called software crisis and responses to it, to help focus on what it is that software engineers do. This leads into a discussion of the areas in software engineering that are problematic as a basis for considering knowledge management issues. Some of the previous work on knowledge management in software engineering is then examined, much of it not actually going under a knowledge management title, but rather “learning” or “expertise”. The chapter goes on to consider the potential for knowledge management in software engineering and the different types of knowledge management solutions and strategies that might be adopted, and it touches on the crucial importance of cultural issues. It concludes with a list of challenges that knowledge management in software engineering needs to address
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