Software development lifecycle models

Ruparelia, Nayan B.

doi:10.1145/1764810.1764814

Cited by 233 publications

(96 citation statements)

References 4 publications

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“…Each requirement will go through complete cycle from gathering requirement, design and develop, until implementation [8]. Increment advantage is that in each cycle, client can provide feedback which help identify and resolve risk in advance [42]. Although the models have their own strengths and weaknesses, incremental model has the advantages of other models without their drawbacks [8].…”

Section: Literature Reviewmentioning

confidence: 99%

A mechanism to assess the relationship between socio-technical congruence and project performance in incremental model

Sobri

Fauzi

Nasir

et al. 2018

J. Fundam and Appl Sci.

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Socio-technical congruence (STC) is one of the emergingPrior study on STC suggests that the congruence between socio and technical dependencies leads to increase in task performance. However, little is discovered on how it relate to task performance in software development paper, we outline a method to investigate the relationship of STC and task performance in Journal of Fundamental and Applied Sciences

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Section: Literature Reviewmentioning

confidence: 99%

A mechanism to assess the relationship between socio-technical congruence and project performance in incremental model

Sobri

Fauzi

Nasir

et al. 2018

J. Fundam and Appl Sci.

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“…According to [5,7,26], these models or standards can be used to determine all phases of the life cycle, but they contain particular characteristics that make them more suitable for specific phases. For instance, the waterfall is suitable for defining phases, because this model uses the feedback concept ensuring and revising the information integrity during a single phase [27]. Moreover, the traditional models ensure the information consistency in the direct flow according to representative life cycle model proposed by ISO/IEC TR 24748-1:2010 [28], i.e., if it is necessary to change some information in previous phases, these models are not able to manage the new information [29].…”

Section: Cross-systems Life Cycle Requirements Interoperation Issuementioning

confidence: 99%

Towards a Conceptual Framework for Requirements Interoperability in Complex Systems Engineering

Szejka

Aubry

Panetto

et al. 2014

On the Move to Meaningful Internet Systems: OTM 2014 Workshops

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Abstract. Requirements Engineering (RE) is an important activity in system engineering and produces, from the users' needs, specifications related to what the final system must be. This process in complex systems engineering is extremely intense, because there is a large number of stakeholders involved, with expertise deriving from heterogeneous domains. Moreover, requirements' improvements and variations are common during system life cycle phases. Thus, there is a risk of inconsistency of requirements during the engineering of a system. This paper provides a contribution in requirements engineering as it explores requirements interoperability in complex systems when multiples dimensions are involved. It discusses requirement management according to the cross-domains dimension, the cross-systems life cycle dimension, the crossrequirements dimension and the risk of inconsistency when three dimensions are involved simultaneously during the life cycle phases. The main result is an overview of the existing gaps in one and/or more dimensions allowing a discussion on the possibilities to cope with the problem of requirements inconsistency in multiples dimensions.

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“…Software engineering has been, since its existence, subject of research and improvement in several areas of interest, such as software development processes (SDPs) whose process models evolved from waterfall and nowadays may assume several forms [5]. The development of large software systems is another area of interest that has been, for decades, subject of research work; several topics can be pointed out such as the exploration of issues related to the management of large scale software development [6,7], software architecture [8][9][10], model-driven development [11,12], among others.…”

Section: Related Workmentioning

confidence: 99%

Profiling and Framing Structures for Pervasive Information Systems Development

Fernandes

Machado

Carvalho

2012

Communications in Computer and Information Science

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Abstract. Pervasive computing is a research field of computing technology that aims to achieve a new computing paradigm. Software engineering has been, since its existence, subject of research and improvement in several areas of interest. Model-Based/Driven Development (MDD) constitutes an approach to software design and development that potentially contributes to: concepts closer to domain and reduction of semantic gaps; automation and less sensitivity to technological changes; capture of expert knowledge and reuse. This paper presents a profiling and framing structure approach for the development of Pervasive Information Systems (PIS). This profiling and framing structure allows the organization of the functionality that can be assigned to computational devices in a system and of the corresponding development structures and models, being. The proposed approach enables a structural approach to PIS development. The paper also presents a case study that allowed demonstrating the applicability of the approach.Keywords: MDD, PIS, pervasive, ubiquitous, software engineering, process, information systems, architecture, framework. IntroductionThe dissemination of computing and heterogeneous devices and platforms, the high pace of technological innovations and volatile requirements, the size and complexity of software systems characterize the software development context today. This context challenges the way software is developed for emerging forms of information systems. Software Development Processes (SDPs), as well as generalized adoption of models, are fundamental to efficient development efforts of successful software systems. Pervasive Computing, also called Ubiquitous Computing [1,2], represents a new direction on the thinking about the integration and use of computers in people's lives. It aims to achieve a new computing paradigm, one in which there is a high degree of pervasiveness and availability of interconnected computing devices in the physical Profiling and Framing Structures for Pervasive Information Systems Development 285 environment. Widespread availability of affordable and innovative information technologies represents a potential opportunity for improvement/innovation on business processes or for enhancement of life quality of individuals. Among other things (such as social concerns), this opportunity promotes the attention to the efficiency and effectiveness of information management regarding to the way they acquire, process, store, retrieve, communicate, use, and share information. To take full benefits of the opportunities offered by modern information technologies, these devices need to be "appropriately integrated within organizational frameworks" [3]. Therefore, Pervasive Information Systems (PIS) [4] orchestrate these devices in order to achieve a set of well-established goals. In this way, PIS not only provide a solid basis to sustain the needed information to achieve effectiveness at both individual and organizational levels, but also leverages the investment on those information techno...

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Software development lifecycle models

Cited by 233 publications

References 4 publications

A mechanism to assess the relationship between socio-technical congruence and project performance in incremental model

A mechanism to assess the relationship between socio-technical congruence and project performance in incremental model

Towards a Conceptual Framework for Requirements Interoperability in Complex Systems Engineering

Profiling and Framing Structures for Pervasive Information Systems Development

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