3,745 research outputs found

    An approach to reconcile the agile and CMMI contexts in product line development

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    Software product line approaches produce reusable platforms and architectures for products set developed by specific companies. These approaches are strategic in nature requiring coordination, discipline, commonality and communication. The Capability Maturity Model (CMM) contains important guidelines for process improvement, and specifies "what" we must have into account to achieve the disciplined processes (among others things). On the other hand, the agile context is playing an increasingly important role in current software engineering practices, specifying "how" the software practices must be addressed to obtain agile processes. In this paper, we carry out a preliminary analysis for reconciling agility and maturity models in software product line domain, taking advantage of both.Postprint (published version

    A make/buy/reuse feature development framework for product line evolution

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    Managed Evolution of Automotive Software Product Line Architectures: A Systematic Literature Study

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    The rapidly growing number of software-based features in the automotive domain as well as the special requirements in this domain ask for dedicated engineering approaches, models, and processes. Nowadays, software development in the automotive sector is generally developed as product line development, in which major parts of the software are kept adaptable in order to enable reusability of the software in different vehicle variants. In addition, reuse also plays an important role in the development of new vehicle generations in order to reduce development costs. Today, a high number of methods and techniques exist to support the product line driven development of software in the automotive sector. However, these approaches generally consider only partial aspects of development. In this paper, we present an in-depth literature study based on a conceptual model of artifacts and activities for the managed evolution of automotive software product line architectures. We are interested in the coverage of the particular aspects of the conceptual model and, thus, the fields covered in current research and research gaps, respectively. Furthermore, we aim to identify the methods and techniques used to implement automotive software product lines in general, and their usage scope in particular. As a result, this in-depth review reveals that none of the studies represent a holistic approach for the managed evolution of automotive software product lines. In addition, approaches from agile software development are of growing interest in this field

    The Adoption of Agile Management Practices in a Traditional Project Environment : An IS/IT Case Study

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    Hany Wells, Darren Dalcher, Hedley Smyth, ‘The Adoption of Agile Management Practices in a Traditional Project Environment’, paper presented at the 48th Hawaii International Conference on System Sciences (HICSS-48), Kauai, Hawaii, USA, 5-8 January, 2015.Despite the growing interest in the usage and application of Agile Project Management Methodologies (PMMs), there is only scant research examining how and why organisations select agile approaches for managing and delivering Information Technology /Information Systems (IT/IS) projects. This paper reports on the findings of such research conducted within the context of a large technology focused case organisation. The findings identify significant variance between business lines, specifically between product development and software development functions and their ability to follow agile guidelines. Generally across the organisation there was limited evidence of tailoring to context, an important organisational success factor, yet there was a more significant level of tailoring and responsiveness to client needs and wishes. Overall, there was a lack of clarity about the location of the decoupling points following the scoping of the project. Recommendations therefore require further attention and understanding of the implications of new practices employed by organisations, not least by senior management and for additional research underpinning such discovery.Peer reviewedFinal Accepted Versio

    Software Development with Scrum: A Bibliometric Analysis and Profile

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    Introduction of the Scrum approach into software engineering has changed the way software is being developed. The Scrum approach emphasizes the active end-user involvement, embracing of change, and /iterative delivery of products. Our study showed that Scrum has different variants or is used in combination with different methods. Some tools not normally used in the conventional software approaches, like gamification, content analysis and grounded theory are also employed. However, Scrum like other software development approach focuses on improvement of software process, software quality, business value, performance, usability and efficiency and at the same time to reduce cost, risk and uncertainty. Contrary to some conventional approaches it also strives to boost soft factors like agility, trust, motivation, responsibility and transparency. The bibliometric synthetic scoping study revealed seven main research themes concerned with the Scrum research

    A review and future direction of agile, business intelligence, analytics and data science

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    Agile methodologies were introduced in 2001. Since this time, practitioners have applied Agile methodologies to many delivery disciplines. This article explores the application of Agile methodologies and principles to business intelligence delivery and how Agile has changed with the evolution of business intelligence. Business intelligence has evolved because the amount of data generated through the internet and smart devices has grown exponentially altering how organizations and individuals use information. The practice of business intelligence delivery with an Agile methodology has matured; however, business intelligence has evolved altering the use of Agile principles and practices. The Big Data phenomenon, the volume, variety, and velocity of data, has impacted business intelligence and the use of information. New trends such as fast analytics and data science have emerged as part of business intelligence. This paper addresses how Agile principles and practices have evolved with business intelligence, as well as its challenges and future directions

    An Agile Process Model for Product Derivation in Software Product Line Engineering

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    Software Product Lines (SPL) and Agile practices have emerged as new paradigms for developing software. Both approaches share common goals; such as improving productivity, reducing time to market, decreasing development costs and increasing customer satisfaction. These common goals provide the motivation for this research. We believe that integrating Agile practices into SPL can bring a balance between agility and formalism. However, there has been little research on such integration. We have been researching the potential of integrating Agile approaches in one of the key SPL process areas, product derivation. In this paper we present an outline of our Agile process model for product derivation that was developed through industry based case study research
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