7,693 research outputs found

    Mob Programming – A Promising Innovation in the Agile Toolkit

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    Mob programming is a new agile practice that is attracting the attention of software community. This paper presents an overview of mob programming, its benefits and risks identified by its proponents and early adopters and suggests areas for future academic research that could help establish its efficacy and theoretical rationale. The paper also presents the results of text analysis done on the extant literature on the subject

    A Review on Extreme Programming in Software Development

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    In recent years, the practice of Software Development (SD) has become more common in the software industry. The advantages of globalization, the economy, location, speed to market, organizational strategy, the availability of qualified workers, and lower prices are all factors in this shift. One of the most well-known agile approaches is Extreme Programming (XP), which places a premium on clarity, openness, bravery, and feedback. High demand and a need for goods from customers and clients are putting a strain on the software industry's ability to provide high-quality items quickly. Small delays in the release may have a huge influence on the company's image and profitability. In software engineering, cost estimate plays a significant role in contract negotiation and project execution. A good Development plan reduces the risks and the inefficiencies related to the Development task. Development effort and productivity are difficult to quantify because of a variety of internal organizational elements and procedures related to the product itself. Development process productivity is often lower than development process productivity

    Implementing Agile Methodology Techniques in Automobile Industry

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    Automotive industries have continued to expand, as they cut on costs by regulating efficiency, grow and make profits. The factors that have continued to change the industry include marketplace growth, outsourcing for product development, customers demanding for improved reliability, development of human-vehicle software and have continued to change the automotive industry. As a result, companies have continued to face numerous challenges to manage the factors. The challenges include managing volatility, experiencing massive uncertainty, as well as reduced predictability of future businesses. Other challenges include handling a complex and interconnected industry and the need to form joint ventures and maintain successful supplier relationships. The Automotive businesses must change their operating models to advance agility. An example includes ensuring OEMs is flexible to operate across the value chain and provide value-add, as well as personalized experiences. The Automotive companies must learn from Google and Uber that have embraced digital activities to market new business models that can promote innovation. The study conducted by Crute et al. (2013) showed that over 30% of automotive businesses are willing to invest in advanced business models likely to drive value from new capabilities. According to Elkins et al. (2014), having an advanced operating model permit digital abilities that could reduce costs and support growth. While rethinking of an operating model, the automotive companies must choose the ones that are digital to help them improve efficiency as well as agility. According to Hallgren and Olhanger, (2009), when companies operate on lean strategies, then they free up costs that could likely to be reinvented to other significant fuel growth strategies and maintain a competitive advantage in the industry. When companies invest in new business models and advanced digital abilities, then they engage in aggressive growth. An example includes automotive firms moving beyond manufacturing of vehicles to join the wider ecosystem that opens new business opportunities to build new capabilities, collaborate with other partners to invest heavily in innovation (Poppendieck & Cusumano, 2012). The focus is on improving customer experiences through expansion strategies that include joint ventures or acquisitions. It is impossible for companies to enhance efficiency and performance without having a talented staff that is committed to the delivery of quality products and services. Digital activities and innovation-driven automotive industry have increased stakes for company processes across the value chain. Devadasan (2012), therefore believes dealerships, OEMs, and manufacturers of vehicle parts require individuals that are digital savvy to initiate the transition to digital corporations (Tuck et al. 2006). The techno-savvy employees use digital strategies to improve customer experience, leading to many companies to invest in human resource practices such as training of employees

    Experiences In Collaborative Learning

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    Cooperative learning is a paradigm of collaboration aimed to reach a common goal. The trend of using social networks and social media to deliver and exchange knowledge leads us to believe that collaboration skills must be strongly promoted to empower users to learn with and from each other to support the educational challenges of this century. In this paper we discuss the primary needs of a modern educational system and we present the ETCplus project, a model of cooperation that has as its primary focus students’ cooperation in an academic environment. Two distinct experiments involving cooperative learning with two international universities are discussed. The first describes a system in an environment that is left to evolve autonomously. The second presents a system in a controlled environment that uses an accelerator to speed the learning process. The process of collaboration was built on a shared platform. Students’ feedback shows that cooperative learning produces better results when consonance and resonance are reached. The paper discusses the pros and cons of the ETCplus project
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