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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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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 note on the evolution of software engineering practices

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JOURNAL OF SYSTEMS AND software 2001年第1期57卷 1-7页

作者： Drehmer, DE Dekleva, SM Depaul Univ Kellstadt Grad Sch Business Chicago IL 60604 USA

This paper describes how software development process naturally evolves. Items taken from an early version of the SEI's CMM questionnaire are shown to make up a linear scale that describes how software development and management practices are introduced in a software production organization. Analysis of this scale shows that when software practices are inadequately or incompletely implemented, they are refined in several iterations. This observation implies that such repetitive refinements of software practices can be estimated and that it may be possible to correct inadequate or incomplete initial implementations and shorten the cycle between refinement steps and thus accelerate the software process evolution. (C) 2001 Elsevier Science Inc. All rights reserved.

关键词： software process evolution software engineering practices software process maturity model software development

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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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THE APPLICATION OF MODERN software engineering practices TO CONTROL engineering

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Journal of Advanced Manufacturing Systems 2003年第1期2卷 127-141页

作者： BRAIN A. BERENBACH PETER R. SPOOL DIETER BITTERLE Siemens Corporate Research Inc. USA Siemens Energy and Automation Inc. 755 College Rd. East Princeton NJ 08540–6632 USA

Over the years, control systems have become increasingly dependent on custom software. As hardware has gotten cheaper, attention has focused on improving the processes associated with developing control system software by using approaches such as the software engineering Institute's Capability Maturity Model (CMM), 1,2 and enabling reuse and long term cost reduction with component-based software development. This paper discusses the application of the CMM to the software process used in control engineering and the use of component based software development. We also discuss some advanced features of the Siemens SIMATIC STEP 7 Universal Development Environment that provides the tools to plan, configure, evelop, test, troubleshoot, document and support not only PLC programs, but also entire auto, ation projects. STEP 7 also enables and support process improvement and component-based software development.

关键词： Automation and control systems software engineering practices component-based software requirement's management software Process Improvement (SPI) software project planning software project tracking & oversight software quality assurance software subcontract management peer reviews

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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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software engineering for Computational Science: Past, Present, Future

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COMPUTING IN SCIENCE & engineering 2018年第2期20卷 90-109页

作者： Johanson, Arne N. Hasselbring, Wilhelm XING Mkt Solut GmbH Hamburg Germany Univ Kiel Software Engn Kiel Germany

Despite the increasing importance of in silico experiments to the scientific discovery process, state-of-the-art software engineering practices are rarely adopted in computational science. To understand the underlying causes for this situation and to identify ways to improve it, we conducted a literature survey on software engineering practices in computational science. We identified 13 recurring key characteristics of scientific software development that are the result of the nature of scientific challenges, the limitations of computers, and the cultural environment of scientific software development. Our findings allow us to point out shortcomings of existing approaches for bridging the gap between software engineering and computational science and to provide an outlook on promising research directions that could contribute to improving the current situation.

关键词： Natural Sciences Computing software engineering Computational Science Scientific Discovery Process Scientific software Development software engineering practices Scientific Computing software engineering Computational Modeling software Development Management Survey software engineering Computational Science software Development History Of Computing

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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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Case study on risk management practice in large offshore-outsourced Agile software projects

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IET software 2014年第6期8卷 245-257页

作者： Sundararajan, Srikrishnan Bhasi, Marath Vijayaraghavan, Pramod K. Cochin Univ Sci & Technol Dept Comp Applicat Kochi Kerala India

Information systems, offshoring and outsourcing have resulted in significant changes to software engineering practices. In this study, the authors explore industry practices in risk management in a large offshore-outsourced Agile Scrum software development project. The project consisted of distributed teams from two different IT vendors. Agile method is suitable for small and collocated teams, where the team members have high level of knowledge and commitment. In this study, the authors explore the challenges to Agile culture and practices posed by offshore-outsourced business model (where project ownership is shared, and business knowledge of the development team is limited), distributed project teams and large team size characteristic of offshore projects. In this study, it was further examined how these challenges were managed;and how the best practices can be used to improved performance in the context of offshore-outsourced Agile projects in general.

关键词： risk management software prototyping risk management practice information systems software engineering practices large offshore-outsourced Agile Scrum software development project IT vendors small teams collocated teams team members Agile culture business model project ownership business knowledge development team distributed project teams team size characteristic performance improvement

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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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