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25th International Conference on Product Focused software Process Improvement

作者： Giatzis, Antonios Arvanitou, Elvira-Maria Papadopoulou, Danai Maikantis, Theodoros Nikolaidis, Nikolaos Feitosa, Daniel Georgiadis, Christos Ampatzoglou, Apostolos Chatzigeorgiou, Alexander Konstantinidis, Evdokimos Bamidis, Panagiotis Univ Macedonia Dept Appl Informat Thessaloniki Greece Univ Groningen Inst Math Comp Sci & AI Groningen Netherlands Aristotle Univ Thessaloniki Sch Med Thessaloniki Greece

ISBN: (纸本)9783031783852;9783031783869

Smart Contracts are pieces of software that are deployed in Blockchain infrastructures to enable the interaction (and production of value) between unknown parties, without intermediaries, but in a trustworthy and transparent manner. A key to Smart Contracts' success is their delivery to excellent standards of quality (e.g., security, documentation, code understandability etc.). To achieve this goal, the development of Smart Contracts needs to be driven by proven software engineering practices. In this paper, we conducted a systematic mapping study to get a comprehensive overview on how "good" software engineering practices are applied to Smart Contract Development. To identify primary studies that lie on the intersection of software engineering and smart contract development, we have selected specific publication venues and queried the literature. After applying the selection criteria, 113 studies were identified, analyzed, and synthesized results have been reported. The results provided some actionable implications for researchers and practitioners.

关键词： Smart Contract Development Blockchain software engineering practices software Quality Cost Mapping Study

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software engineering practices for scientific software development: A systematic mapping study

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JOURNAL OF SYSTEMS AND software 2021年 172卷 110848-110848页

作者： Arvanitou, Elvira-Maria Ampatzoglou, Apostolos Chatzigeorgiou, Alexander Carver, Jeffrey C. Univ Macedonia Dept Appl Informat Thessaloniki Greece Univ Alabama Dept Comp Sci Tuscaloosa AL 35487 USA

Background: The development of scientific software applications is far from trivial, due to the constant increase in the necessary complexity of these applications, their increasing size, and their need for intensive maintenance and reuse. Aim: To this end, developers of scientific software (who usually lack a formal computer science background) need to use appropriate software engineering (SE) practices. This paper describes the results of a systematic mapping study on the use of SE for scientific application development and their impact on software quality. Method: To achieve this goal we have performed a systematic mapping study on 359 papers. We first describe a catalog of SE practices used in scientific software development. Then, we discuss the quality attributes of interest that drive the application of these practices, as well as tentative side-effects of applying the practices on qualities. Results: The main findings indicate that scientific software developers are focusing on practices that improve implementation productivity, such as code reuse, use of third-party libraries, and the application of "good"programming techniques. In addition, apart from the finding that performance is a key-driver for many of these applications, scientific software developers also find maintainability and productivity to be important. Conclusions: The results of the study are compared to existing literature, are interpreted under a software engineering prism, and various implications for researchers and practitioners are provided. One of the key findings of the study, which is considered as important for driving future research endeavors is the lack of evidence on the trade-offs that need to be made when applying a software practice, i.e., negative (indirect) effects on other quality attributes. (C) 2020 Elsevier Inc. All rights reserved.

关键词： software engineering practices High performance computing Scientific computing

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Cross-factor analysis of software engineering practices versus practitioner demographics: An exploratory study in Turkey

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JOURNAL OF SYSTEMS AND software 2016年 111卷 49-73页

作者： Garousi, Vahid Coskuncay, Ahmet Demirors, Onur Yazici, Ali Hacettepe Univ Dept Comp Engn Software Engn Res Grp Ankara Turkey Middle E Tech Univ Inst Informat TR-06531 Ankara Turkey Atilim Univ Dept Software Engn Ankara Turkey

Context: Understanding the types of software engineering practices and techniques used in the industry is important. There is a wide spectrum in terms of the types and maturity of software engineering practices conducted in each software team and company. Furthermore, it is important to understand the cross-factor relationship of software engineering practices and practitioner demographics including their companies and projects, e.g., is it the case that practitioners developing software for sectors such as military would utilize software size measurement approaches more, or use different software development methodologies, compared to practitioners developing software for other sectors?, and what kinds of practices are conducted by practitioners in small versus large companies? Objective: Our objective is to get an understanding into the cross-factor correlation of various software engineering practices versus practitioner demographics including their companies and projects (e.g., target industry, size and work experience). Such an understanding will enable us to identify patterns and pinpoint special issues which should be studied and addressed in the context of each specific demographic (e.g., small versus large companies). Thus, we decided to conduct an exploratory study in this area and collected real industrial data in the context of Turkey which has a vibrant software industry. Method: To achieve the above objective, we use the data from a recent Turkish-wide survey of software engineering practices which was systematically designed with 46 questions based on our past experience in the Canadian context and using the software engineering Body of Knowledge (SWEBOK). 202 practicing software engineers participated in the survey. We raise a set of 12 research questions about the cross-factor correlation of software engineering practices and practitioner demographics, and address them using statistical analysis. Results: The exploratory study results reveal importa

关键词： Cross-factor analysis software engineering practices Practitioner demographics

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A Progression Model of software engineering Goals, Challenges, and practices in Start-Ups

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IEEE TRANSACTIONS ON software engineering 2021年第3期47卷 498-521页

作者： Klotins, Eriks Unterkalmsteiner, Michael Chatzipetrou, Panagiota Gorschek, Tony Prikladnicki, Rafael Tripathi, Nirnaya Pompermaier, Leandro Bento Blekinge Inst Technol Software Engn Res Lab Sweden S-37141 Karlskrona Sweden Orebro Univ Dept Informat CERIS Sch Business SE-70182 Orebro Sweden Pontificia Univ Catolica Rio Grande do Sul Sch Technol BR-90619900 Porto Alegre RS Brazil Univ Oulu M3S Res Unit Oulu 90014 Finland

Context: software start-ups are emerging as suppliers of innovation and software-intensive products. However, traditional software engineering practices are not evaluated in the context, nor adopted to goals and challenges of start-ups. As a result, there is insufficient support for software engineering in the start-up context. Objective: We aim to collect data related to engineering goals, challenges, and practices in start-up companies to ascertain trends and patterns characterizing engineering work in start-ups. Such data allows researchers to understand better how goals and challenges are related to practices. This understanding can then inform future studies aimed at designing solutions addressing those goals and challenges. Besides, these trends and patterns can be useful for practitioners to make more informed decisions in their engineering practice. Method: We use a case survey method to gather first-hand, in-depth experiences from a large sample of software start-ups. We use open coding and cross-case analysis to describe and identify patterns, and corroborate the findings with statistical analysis. Results: We analyze 84 start-up cases and identify 16 goals, 9 challenges, and 16 engineering practices that are common among start-ups. We have mapped these goals, challenges, and practices to start-up life-cycle stages (inception, stabilization, growth, and maturity). Thus, creating the progression model guiding software engineering efforts in start-ups. Conclusions: We conclude that start-ups to a large extent face the same challenges and use the same practices as established companies. However, the primary software engineering challenge in start-ups is to evolve multiple process areas at once, with a little margin for serious errors.

关键词： software software engineering Companies Market opportunities Requirements engineering Analytical models software start-up software engineering practices progression model

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Artificial Intelligence Education - Self Guided Learning

Artificial Intelligence Education - Self Guided Learning

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IEEE International Conference on Teaching, Assessment and Learning for engineering (IEEE TALE)

作者： Toh, Yu Ting Ngoh, Wei Yue Sureka, Sagar Iyer, Ganesh Neelakanda Natarajan, Prabhu Natl Univ Singapore Sch Comp Singapore Singapore

ISBN: (纸本)9781665453318

In recent years, there has been a noticeable surge in the utilization of artificial intelligence (AI) across various domains, including science and engineering. This growing demand has placed greater importance on AI education, with undergraduate students from diverse majors being introduced to introductory AI modules. However, it's worth noting that not all students come with a pre-existing background in problem-solving, which can result in some finding the content covered in AI courses to be both challenging and lacking in engagement. To address this challenge, we propose the implementation of AiEduSys (AI Education System). In AiEduSys, we aim to provide a solution by offering customized programming assignments and quizzes tailored to students' specific majors. Additionally, our course recommendations will be customized to align with their chosen fields of study. This approach is designed to enhance students' understanding of AI concepts and, in turn, stir up their interest in AI algorithms. We aspire to motivate them to explore how AI can be applied within their respective domains, extending beyond the confines of the AI module itself. In our user study, we created customized programming assignments and quizzes centered around the topic of the K-Nearest Neighbour (kNN) algorithm. Furthermore, we employed a hybrid model that combines Content-based filtering and Collaborative filtering to develop the AI course recommendation system. The results were promising, as we observed positive feedback from students. The majority of participants expressed significant interest in the custom-tailored programming assignments, personalized quizzes, and course recommendations. Most notably, these students demonstrated a heightened level of motivation to explore AI applications within their fields of study following their interaction with AiEduSys.

关键词： artificial intelligence education software design software engineering practices customised programming assignments customised quizzes content-based filtering collaborative filtering personalized learning

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Towards a Framework to Guide the Creation of Development practices for software Startups 22nd

Towards a Framework to Guide the Creation of Development Pra...

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22nd International Conference on Agile software Development (XP)

作者： Melegati, Jorge Free Univ Bozen Bolzano Fac Comp Sci Bolzano Italy

ISBN: (纸本)9783030885830;9783030885823

The research on software startups has increased lately, focusing on describing how these companies' unique context influences development practices. The next step for research is the creation of specific practices for these companies grounded in scientific results. An obstacle in this path is which dependent variable these novel practices should improve. A natural answer is these companies' success. This position paper reviews the literature on new ventures and startups' success to show that telling if a startup is successful or not is a complex issue. As a solution to this problem, this paper proposes a conceptual framework, suggesting that novel practices should improve success determinants or reduce inhibitors rather than focusing on the startups' success. Three examples illustrate the framework's use: hypotheses engineering, microservices, and BizDev. The identification of contributors and inhibitors for success of software startups could enrich the framework and indicate possible avenues for the creation of development practices specific tailored for these companies.

关键词： software startups Startup success software success software engineering practices

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Bridging the Gap Between Ethics and Practice: Guidelines for Reliable, Safe, and Trustworthy Human-centered AI Systems

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ACM TRANSACTIONS ON INTERACTIVE INTELLIGENT SYSTEMS 2020年第4期10卷 1-31页

作者： Ben Shneiderman Univ Maryland Dept Comp Sci College Pk MD 20742 USA

This article attempts to bridge the gap between widely discussed ethical principles of Human-centered AI (HCAI) and practical steps for effective governance. Since HCAI systems are developed and implemented in multiple organizational structures, I propose 15 recommendations at three levels of governance: team, organization, and industry. The recommendations are intended to increase the reliability, safety, and trustworthiness of HCAI systems: (1) reliable systems based on sound software engineering practices, (2) safety culture through business management strategies, and (3) trustworthy certification by independent oversight. software engineering practices within teams include audit trails to enable analysis of failures, software engineering workflows, verification and validation testing, bias testing to enhance fairness, and explainable user interfaces:the safety culture within organizations comes from management strategies that include leadership commitment to safety, hiring and training oriented to safety, extensive reporting of failures and near misses, internal review boards for problems and future plans, and alignment with industry standard practices. The trustworthiness certification comes from industry-wide efforts that include government interventions and regulation, accounting firms conducting external audits, insurance companies compensating for failures, non-governmental and civil society organizations advancing design principles, and professional organizations and research institutes developing standards, policies, and novel ideas. The larger goal of effective governance is to limit the dangers and increase the benefits of HCAI to individuals, organizations. and society.

关键词： Human-centered AI Human-Computer Interaction Artificial Intelligence reliable safe trustworthy software engineering practices management strategies independent oversight design

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Strategy for Performing Critical Projects in a Data Center Using DevSecOps Approach and Risk Management

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INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGIES AND SYSTEMS APPROACH 2020年第1期13卷 61-73页

作者： Oswaldo Diaz, Edgar Munoz, Mirna Natl Inst Stat & Geog INEGI Aguascalientes Aguascalientes Mexico CIMAT Guanajuato Mexico

This article describes the new needs that launched the evolution of the DevSecOps + Risk Management approach as well as a brief description of it. Also, the article presents two cases in which the DevSecOps approach was implemented. The results of implementing the approach showed that the implantation allows: (1) reinforcing the implementation of critical projects in the data center;(2) providing a strategy to automate the processes of critical mission projects in a successfully way;(3) generating added value in the timely delivery of information, with levels of service oriented to the end customer satisfaction;(4) enabling the establishment of adequate service levels to keep operational continuity and;(5) allowing both a quantitative and qualitative analysis of risk.

关键词： Data Centers Development Operations Approach Devop Informatics Security Quality Assurance Risk Management practices software engineering practices Technology Infrastructure

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engineering Gender-Inclusivity into software: Ten Teams' Tales from the Trenches 20

Engineering Gender-Inclusivity into Software: Ten Teams' Tal...

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42nd ACM/IEEE International Conference on software engineering - Companion Proceedings (ICSE-Companion) / 42nd ACM/IEEE International Conference on software engineering - software engineering in Practice (ICSE-SEIP)

作者： Hilderbrand, Claudia Perdriau, Christopher Letaw, Lara Emard, Jillian Steine-Hanson, Zoe Burnett, Margaret Sarma, Anita Oregon State Univ Corvallis OR 97330 USA Pacific Northwest Natl Lab Richland WA 99352 USA

ISBN: (纸本)9781450371216

Although the need for gender-inclusivity in software is gaining attention among SE researchers and SE practitioners, and at least one method (GenderMag) has been published to help, little has been reported on how to make such methods work in real-world settings. Real-world teams are ever-mindful of the practicalities of adding new methods on top of their existing processes. For example, how can they keep the time costs viable? How can they maximize impacts of using it? What about controversies that can arise in talking about gender? To find out how software teams "in the trenches" handle these and similar questions, we collected the GenderMag-based processes of 10 real-world software teams-more than 50 people-for periods ranging from 5 months to 3.5 years. We present these teams' insights and experiences in the form of 9 practices, 2 potential pitfalls, and 2 open issues, so as to provide their insights to other real-world software teams trying to engineer gender-inclusivity into their software products.

关键词： Inclusive software software engineering practices GenderMag

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software engineering in start-up companies: An analysis of 88 experience reports

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EMPIRICAL software engineering 2019年第1期24卷 68-102页

作者： Klotins, Eriks Unterkalmsteiner, Michael Gorschek, Tony Blekinge Inst Technol Software Engn Res Lab Kariskrona Sweden

Context Start-up companies have become an important supplier of innovation and software-intensive products. The flexibility and reactiveness of start-ups enables fast development and launch of innovative products. However, a majority of software start-up companies fail before achieving any success. Among other factors, poor software engineering could be a significant contributor to the challenges experienced by start-ups. However, the state-of-practice of software engineering in start-ups, as well as the utilization of state-of-the-art is largely an unexplored area. Objective In this study we investigate how software engineering is applied in start-up context with a focus to identify key knowledge areas and opportunities for further research. Method We perform a multi-vocal exploratory study of 88 start-up experience reports. We develop a custom taxonomy to categorize the reported software engineering practices and their interrelation with business aspects, and apply qualitative data analysis to explore influences and dependencies between the knowledge areas. Results We identify the most frequently reported software engineering (requirements engineering, software design and quality) and business aspect (vision and strategy development) knowledge areas, and illustrate their relationships. We also present a summary of how relevant software engineering knowledge areas are implemented in start-ups and identify potentially useful practices for adoption in start-ups. Conclusions The results enable a more focused research on engineering practices in start-ups. We conclude that most engineering challenges in start-ups stem from inadequacies in requirements engineering. Many promising practices to address specific engineering challenges exists, however more research on adaptation of established practices, and validation of new start-up specific practices is needed.

关键词： software start-up software engineering practices Experience reports

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