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International Conference on Computational Science and Computational Intelligence (CSCI)

作者： Tischbein, Brendan Bull, Caroline Wiegand, Chris Gradianu, Denisa Qamar, Elias Isho, Fabian Mahmoud, Mohammed Oakland Univ Dept Comp Sci & Engn Rochester MI 48309 USA

ISBN: (纸本)9781665458412

Virtual Reality (VR) is the emerging field of digital environment simulation through specialized hardware such as a helmet, gloves or controllers which can be used to manipulate features of the environment. VR software covers a wide variety of applications, from educational media, games, to collaborative tools for professional teams. Over the past five to ten years, VR for software development has seen a great number of changes to the development process of creating, maintaining and improving cohesion between teams. Nowadays the society around us is changing and evolving at an accelerated rate. In this paper, we will discuss different software development methodologies for applications in VR software development, advancements within the field and answer challenges development teams currently face.

关键词： Virtual Reality (VR) software development software development methodologies

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software development methodologies and practices in start-ups

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IET software 2019年第6期13卷 497-509页

作者： Tegegne, Esubalew Workineh Seppanen, Pertti Ahmad, Muhammad Ovais Univ Oulu Res Unit M3S POB 90570 Oulu Finland Karlstad Univ Dept Math & Comp Sci Karlstad Sweden Gdansk Univ Technol Fac Elect Telecommun & Informat Gdansk Poland

software start-ups are aiming to develop cutting-edge software products under highly uncertain conditions, overcoming fast-growing markets under multiple influences. This study aims to identify and analyse the existing scientific literature regarding software development methodologies and practices in software start-ups published between January 2006 and December 2017 using the systematic mapping study. The results identified 37 relevant primary studies out of 1982 papers. To validate the results from the mapping study, an empirical study was based on the research data collected from 14 real-life software start-ups located in Finland, Italy and Norway. The result shows that Agile and Lean start-up methodologies are the most commonly used in software start-ups due to the flexible nature and easy tailoring. A total of 144 software development work practices are extracted from the primary studies. This study contributes to the research in several ways: (i) provides state of the art regarding software development methods and practices in software start-up contexts, (ii) reports commonly used methods along with its benefits identified in primary studies and (iii) identifies opportunities for future software start-up research.

关键词： software development management software prototyping software development methodologies systematic mapping study real-life software start-ups software development methods software development work practices lean start-up methodologies agile start-up methodologies

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Investigating software development methodologies and Practices in software Industry in Tanzania

Investigating Software Development Methodologies and Practic...

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IST-Africa Week Conference (IST-Africa)

作者： Mushashu, Edwin T. Mtebe, Joel S. Univ Dar Es Salaam Dar Es Salaam Tanzania

ISBN: (纸本)9781905824632

The last few years have seen a growing development of software industry in East Africa and Tanzania in particular. The software industry has contributed up to 40% of the economic growth in the past 10 years with the number of registered firms increasing yearly. Despite these developments, few studies have investigated the software development methodologies and practices that have been applied in the software industry and how they affect the success or failure of the software projects. This study investigated software development activities in 18 firms to determine to what extent the software development methods are being adopted and the factors influencing the selection of such methodologies. The study used questionnaire, semi-structured interviews, and documentary review involving 54 developers and project managers from 18 software firms in Dar es Salaam, Tanzania. The study found that the majority of software firms have been adopting traditional software development methodologies accounting to 72% of 79 studied software products. Specifically, amongst 51 software products developed using traditional software methodology, nearly half of the software products adopted waterfall model. Moreover, agile methodologies and other iterative methods are rarely adopted in the software industry. The implications of the results are discussed.

关键词： software development software industry software development methodologies

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How do knowledge cycles happen in software development methodologies?

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INDUSTRIAL AND COMMERCIAL TRAINING 2018年第7-8期50卷 380-392页

作者： Balle, Andrea Raymundo Oliveira, Mirian Curado, Carla Nodari, Felipe Pontificia Univ Catolica Rio Grande do Sul Sch Business Porto Alegre RS Brazil Univ Lisbon Dept Management ISEG Lisbon Portugal

Purpose The purpose of this paper is to illustrate how knowledge takes effect in different software development methodologies by relating them to different knowledge cycles. Design/methodology/approach The results were find by conducing a general review about the topics of knowledge cycles and software development methodologies. Findings All software development methodologies have knowledge cycles. In Waterfall methodology, the cycle followed is I-Space. For code and fix, there is a parallel with March's cycle. Scrum shows a parallel with SECI cycle. Among the methodological options, results show there an increase in hierarchy, documentation, processes and explicit knowledge. Research limitations/implications Identified parallels of each methodology with knowledge cycles;established which Scrum artifacts are performed at each stage of SECI, which Waterfall steps correspond to I-Space phases and which activities in code and fix deal with exploration and exploitation of knowledge;and features shown increase or decrease according to the adoption of each methodology. Practical implications Results help knowledge sharing implementations and foster inter-team knowledge sharing, with the identification of the correct methodology-cycle match and the personalization of the strategy for each team based on the adopted methodology. Training for knowledge initiatives can be improved by determining how knowledge-sharing activities are incorporated on the determined series of actions established by the methodologies adopted on the firm. Originality/value The identification of how knowledge is generated and shared among teams in each methodology, the optimum pairing of the methodology and the parallels with the other, and the differences that emerge from the adopted knowledge cycle show that software projects are embedded in a knowledge cycle.

关键词： Knowledge sharing Knowledge creation Knowledge cycle software development methodologies

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Choice of software development methodologies Do Organizational, Project, and Team Characteristics Matter?

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IEEE software 2016年第5期33卷 86-94页

作者： Vijayasarathy, Leo R. Butler, Charles W. Colorado State Univ Comp Informat Syst Ft Collins CO 80523 USA

Organizations can choose from software development methodologies ranging from traditional to agile approaches. Researchers surveyed project managers and other team members about their choice of methodologies. The results indicate that although agile methodologies such as Agile Unified Process and Scrum are more prevalent than 10 years ago, traditional methodologies, including the waterfall model, are still popular. Organizations are also taking a hybrid approach, using multiple methodologies on projects. Furthermore, their choice of methodologies is associated with certain organizational, project, and team characteristics.

关键词： Project Management software development Management software Prototyping Team Working software development methodologies Organizational Characteristics Project Characteristics Team Characteristics Project Managers Team Members Agile methodologies Agile Unified Process Scrum Waterfall Model software development Industries Organizations Information Systems Agile software development software development methodologies Agile methodologies Traditional methodologies Waterfall Model Hybrid software development Project Characteristics Team Characteristics Organizational Characteristics software development software Engineering

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Jidoka: automation with a human touch

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software AND SYSTEMS MODELING 2025年第2期24卷 339-358页

作者： Escott, Eban WorkingMouse 55 Railway Terrace Milton Qld 4064 Australia

Organisations often find themselves trapped in a costly cycle of replacing legacy systems. Jidoka is a software development methodology that aims to break this cycle and for organisations to mature into a mode of continuous modernisation. Jidoka, which loosely translates to automation with a human touch, offers several strategies for developers to modernise legacy systems onto their preferred technology stack, ensuring that quality, security, and other compliance is met. The paper presents state-of-practice information on how the process emerged through the use of Model-Driven Engineering (MDE), DevOps, and lessons learned using other software development methodologies across 100+ projects.

关键词： software development methodologies Model-driven engineering DevOps software evolution Legacy system modernisation Empirical

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Requirements and software engineering for automotive perception systems: an interview study

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REQUIREMENTS ENGINEERING 2024年第1期29卷 25-48页

作者： Habibullah, Khan Mohammad Heyn, Hans-Martin Gay, Gregory Horkoff, Jennifer Knauss, Eric Borg, Markus Knauss, Alessia Sivencrona, Hakan Li, Polly Jing Chalmers Univ Gothenburg Dept Comp Sci & Engn Gothenburg Sweden Lund Univ Dept Comp Sci Lund Sweden Zenseact AB Gothenburg Sweden Kognic AB Gothenburg Sweden

Driving automation systems, including autonomous driving and advanced driver assistance, are an important safety-critical domain. Such systems often incorporate perception systems that use machine learning to analyze the vehicle environment. We explore new or differing topics and challenges experienced by practitioners in this domain, which relate to requirements engineering (RE), quality, and systems and software engineering. We have conducted a semi-structured interview study with 19 participants across five companies and performed thematic analysis of the transcriptions. Practitioners have difficulty specifying upfront requirements and often rely on scenarios and operational design domains (ODDs) as RE artifacts. RE challenges relate to ODD detection and ODD exit detection, realistic scenarios, edge case specification, breaking down requirements, traceability, creating specifications for data and annotations, and quantifying quality requirements. Practitioners consider performance, reliability, robustness, user comfort, and-most importantly-safety as important quality attributes. Quality is assessed using statistical analysis of key metrics, and quality assurance is complicated by the addition of ML, simulation realism, and evolving standards. Systems are developed using a mix of methods, but these methods may not be sufficient for the needs of ML. Data quality methods must be a part of development methods. ML also requires a data-intensive verification and validation process, introducing data, analysis, and simulation challenges. Our findings contribute to understanding RE, safety engineering, and development methodologies for perception systems. This understanding and the collected challenges can drive future research for driving automation and other ML systems.

关键词： Requirements engineering software quality software development methodologies Driving automation systems Autonomous driving

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From Traditional to Agile methodologies in software Project Management Education: A Case Study 24

From Traditional to Agile Methodologies in Software Project ...

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16th International Conference on Education Technology and Computers

作者： Santos, Mickael Fonseca Filipe, Ricardo Angelo Cunha, Joao Carlos Polytech Univ Coimbra Coimbra Inst Engn Coimbra Portugal

ISBN: (纸本)9798400717819

Nowadays, agile methodologies are being increasingly adopted in the software development industry, replacing traditional methodologies. In this way, software engineering courses have been following the industry, and are therefore increasingly teaching students to follow agile methodologies and practices rather than traditional ones. This paper describes and analyzes this transition in a software Project Management course at a higher-education institution. This experiment took place over two academic years, with Waterfall being used in the first year and Scrum in the second. The Learning Outcomes in both years are the same: to gain competences in managing software projects in small teams;but the steps to reach these competences changed according to the current trends in the area. The results obtained by the students show that, by following Scrum, the students demonstrated being more capable of developing software in teams, focused on the clients, and acquired more knowledge in fundamental areas of software development.

关键词： software development methodologies software Project Management Education Traditional to Agile

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Strategies, Information Technologies and Models for Knowledge Management in software development Companies: A Systematic Review of the Literature 10th

Strategies, Information Technologies and Models for Knowledg...

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10th Workshop on Engineering Applications, WEA 2023

作者： Fragoso, Evelin Villa, Luisa F. Marín, Lillyana María Giraldo Information and Knowledge Management University of Medellin Antioquia Colombia Arkadius Research Group Faculty of Engineering University of Medellín Antioquia Colombia

ISBN: (纸本)9783031467387

software development companies are currently facing numerous challenges due to rapid technological change, high staff turnover, and brain drain. This means that the key knowledge of the companies is lost and there are difficulties in carrying out the medium and long-term planned projects with the customers, which over time affects the income, productivity, and continuity of these companies. In this scenario, knowledge management, understood as a process that allows the company to identify, collect, store, evaluate, and share valuable information, becomes a critical success factor, as it allows the creation of value through knowledge, thus mitigating the impact of these challenges. This article aims to systematically review the literature to identify what strategies, technologies, and knowledge management models are being used by software development companies to obtain the benefits and capabilities needed to be more solid and competitive in the marketplace. The results of this work show that the most commonly used strategies are collaborative networks, knowledge repositories, training, organizational agility, and peer work. Similarly, it was found that the most commonly used technologies are collaborative tools, information systems, and business intelligence and knowledge management applications. This is embedded in models that promote agility and collaborative working. In addition, according to the articles, increasing productivity, shortening the learning curve for new employees, and developing innovation, absorption, and creativity capabilities were cited as benefits that are fundamental to effective knowledge management. Similarly, challenges for investigation and challenges that should be adopted in future research were found. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： brain drain capabilities information technologies knowledge management models software development methodologies staff turnover strategies

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A Framework for considering Quality of Data through software development 10

A Framework for considering Quality of Data through Software...

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10th International Conference in software Engineering Research and Innovation (CONISOFT)

作者： Guerra-Garcia, Cesar Perez-Gonzalez, Hector G. Martinez-Perez, Francisco Nava-Munoz, Sandra E. Juarez-Ramirez, Reyes Autonomous Univ San Luis Potosi San Luis Potosi San Luis Potosi Mexico Autonomous Univ Baja California Mexicali Baja California Mexico

ISBN: (纸本)9781665461269

An inadequate level of data quality in Information Systems anticipates a very important problem for enterprises nowadays. In any case, enterprises should look for to assure data quality from earlier stages on information system development. This paper proposes to incorporate mechanisms into a software development methodology, to integrate user's DQ requirements aimed at assuring the data quality from the beginning of development. It brings a framework consisting of well-defined processes, activities, and tasks, which would be incorporated in an existent software development methodology, as METRICA V3;and therefore, to assure software product data quality created according to this methodology. The proposal presented, is a guideline, and it can be extended and applied to other development methodologies like Unified development Process.

关键词： software development methodologies software quality assurance data quality

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