1,496,516 research outputs found

    On Evidence-based Risk Management in Requirements Engineering

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    Background: The sensitivity of Requirements Engineering (RE) to the context makes it difficult to efficiently control problems therein, thus, hampering an effective risk management devoted to allow for early corrective or even preventive measures. Problem: There is still little empirical knowledge about context-specific RE phenomena which would be necessary for an effective context- sensitive risk management in RE. Goal: We propose and validate an evidence-based approach to assess risks in RE using cross-company data about problems, causes and effects. Research Method: We use survey data from 228 companies and build a probabilistic network that supports the forecast of context-specific RE phenomena. We implement this approach using spreadsheets to support a light-weight risk assessment. Results: Our results from an initial validation in 6 companies strengthen our confidence that the approach increases the awareness for individual risk factors in RE, and the feedback further allows for disseminating our approach into practice.Comment: 20 pages, submitted to 10th Software Quality Days conference, 201

    Engineering Leadership Programs in Colleges and Universities: A Focus on Morality

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    Engineering programs at the college and university level have increased their focus on engineering leadership programs over the last decade. The education has focused primarily on skill-based subjects such as organizing, effective communication, and team-building. There is evidence that supports the ability to improve leadership ability by including material related to moral disengagement and moral identity in any leadership development program. This paper describes what is being done today and evidence to support changes in current programs

    Web engineering security: essential elements

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    Security is an elusive target in today’s high-speed and extremely complex, Web enabled, information rich business environment. This paper presents the idea that there are essential, basic organizational elements that need to be identified, defined and addressed before examining security aspects of a Web Engineering Development process. These elements are derived from empirical evidence based on a Web survey and supporting literature. This paper makes two contributions. The first contribution is the identification of the Web Engineering specific elements that need to be acknowledged and resolved prior to the assessment of a Web Engineering process from a security perspective. The second contribution is that these elements can be used to help guide Security Improvement Initiatives in Web Engineering

    A secondary analyses of Bradac et al. s prototype process-monitoring experiment

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    We report on the secondary analyses of some conjectures and empirical evidence presented in Bradac et al. s prototype process-monitoring experiment, published previously in IEEE Transactions on Software Engineering. We identify 13 conjectures in the original paper, and re-analyse six of these conjectures using the original evidence. Rather than rejecting any of the original conjectures, we identify assumptions underlying those conjectures, identify alternative interpretations of the conjectures, and also propose a number of new conjectures. Bradac et al. s study focused on reducing the project schedule interval. Some of our re-analysis has--considered improving software quality. We note that our analyses were only possible because of the quality and quantity of evidence presented in the original paper. Reflecting on our analyses leads us to speculate about the value of descriptive papers --that seek to present empirical material (together with an explicit statement of goals, assumptions and constraints) separate from the analyses that proceeds from that material. Such descriptive papers could improve the public scrutiny of software engineering research and may respond, in part, to some researchers criticisms concerning the small amount of software engineering research that is actually--evaluated. We also consider opportunities for further research, in particular opportunities for relating individual actions to project outcomes

    Evidence-based clinical engineering : machine learning algorithms for prediction of defibrillator performance

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    Poorly regulated and insufficiently supervised medical devices (MDs) carry high risk of performance accuracy and safety deviations effecting the clinical accuracy and efficiency of patient diagnosis and treatments. Even with the increase of technological sophistication of devices, incidents involving defibrillator malfunction are unfortunately not rare. To address this, we have developed an automated system based on machine learning algorithms that can predict performance of defibrillators and possible performance failures of the device which can affect performance. To develop an automated system, with high accuracy, overall dataset containing safety and performance measurements data was acquired from periodical safety and performance inspections of 1221 defibrillator. These inspections were carried out in period 2015–2017 in private and public healthcare institutions in Bosnia and Herzegovina by ISO 17,020 accredited laboratory. Out of overall number of samples, 974 of them were used during system development and 247 samples were used for subsequent validation of system performance. During system development, 5 different machine learning algorithms were used, and resulting systems were compared by obtained performance

    On the need for a global engineering initiative to mitigate climate change

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    There is growing scientific evidence that the continued emission of greenhouse gases will eventually lead to catastrophic irreversible climate change and that, therefore, a global effort needs to be started to transition to a fully renewable economy. In this article, the engineering challenges of converting to emission-free power generation are reviewed and the feasibility of two proposed solutions, i.e. the ‘wind–water–solar’ and the ‘energy ship’ proposals, are discussed. It is concluded that a well-conceived and executed engineering effort needs to be initiated and guided by a Global Engineering Council for the purpose of examining and ranking various proposals and making specific recommendations

    Using evidence combination for transformer defect diagnosis

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    This paper describes a number of methods of evidence combination, and their applicability to the domain of transformer defect diagnosis. It explains how evidence combination fits into an on-line and implemented agent-based condition monitoring system, and the benefits of giving selected agents reflective abilities. Reflection has not previously been deployed in an industrial setting, and theoretical work has been in domains other than power engineering. This paper presents the results of implementing five different methods of evidence combination, showing that reflective techniques give greater accuracy than non-reflective

    Security and computer forensics in web engineering education

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    The integration of security and forensics into Web Engineering curricula is imperative! Poor security in web-based applications is continuing to cost organizations millions and the losses are still increasing annually. Security is frequently taught as a stand-alone course, assuming that security can be 'bolted on' to a web application at some point. Security issues must be integrated into Web Engineering processes right from the beginning to create secure solutions and therefore security should be an integral part of a Web Engineering curriculum. One aspect of Computer forensics investigates failures in security. Hence, students should be aware of the issues in forensics and how to respond when security failures occur; collecting evidence is particularly difficult for Web-based applications

    Employer and student perspectives on skills for engineers in the twenty first century and beyond

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    This research focused on skills identified among final year engineering students. It provided evidence of different levels of skills by students and identifies their greatest learning influences in these areas. The skills were self-assessed by students and covered seven areas designated by Engineers Ireland. Competency levels such as science, software, creativity, engineering practice, social and business, ethics, discipline specific were assessed. It also investigated the important role that work placements play in skills developed by students. Key skills sought by leading Engineering firms from graduates now and in the next five years were also researched in this paper. Employers were surveyed to determine and investigate skills needed from graduate engineers and how best to meet these challenges. The emphasis on work placements and its impact on skills’ development in engineering students such as business acumen and working effectively and efficiently in industry were highlighted
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