Challenges in Software Evolution

Mens, Tom; Wermelinger, Michel; Ducasse, Sté́phane; Demeyer, Serge; Hirschfeld, Robert; Jazayeri, Mehdi

doi:10.1109/iwpse.2005.7

Cited by 150 publications

(93 citation statements)

References 28 publications

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“…Evolving software is challenging for many engineering reasons [26], and it can also be risky if we consider the end-user adoption [37]. Many studies [8,11,18,41] have investigated how software is perceived by users (or even how user's personality influences this perception [46]); essentially, these studies try to model and relate the user's intention to use an application, which goes beyond the applications' easiness of use, it also encompasses expectations about applications' privacy, social influence, cost, performance, etc.…”

Section: User Acceptancementioning

confidence: 99%

Software Unbundling: Challenges and Perspectives

Filho

Acher²,

Barais³

2016

Lecture Notes in Computer Science

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Unbundling is a phenomenon that consists of dividing an existing software artifact into smaller ones. It can happen for different reasons, one of them is the fact that applications tend to grow in functionalities and sometimes this can negatively influence the user experience. For example, mobile applications from well-known companies are being divided into simpler and more focused new ones. Despite its current importance, little is known or studied about unbundling or about how it relates to existing software engineering approaches, such as modularization. Consequently, recent cases point out that it has been performed unsystematically and arbitrarily. In this article, our main goal is to present this novel and relevant concept and its underlying challenges in the light of software engineering, also exemplifying it with recent cases. We relate unbundling to standard software modularization, presenting the new motivations behind it, the resulting problems, and drawing perspectives for future support in the area.

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Section: User Acceptancementioning

confidence: 99%

Software Unbundling: Challenges and Perspectives

Filho

Acher²,

Barais³

2016

Lecture Notes in Computer Science

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“…Methodologies and guidelines are needed that assist software engineers in making well-founded choices with respect to different types of evolution (such as those defined in [62]). Various researchers summarize research challenges arising from software evolution, e.g., van Deursen et al [65] and Mens et al [167].…”

Section: Evolution Of Diverse Systemsmentioning

confidence: 99%

Software diversity: state of the art and perspectives

Schaefer

Rabiser²,

Clarke

et al. 2012

Int J Softw Tools Technol Transfer

136

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Abstract. Diversity is prevalent in modern software systems to facilitate adapting the software to customer requirements or the execution environment. Diversity has an impact on all phases of the software development process. Appropriate means and organizational structures are required to deal with the additional complexity introduced by software variability. This introductory article to the special section "Software Diversity -Modeling, Analysis and Evolution" provides an overview of the current state of the art in diverse systems development and discusses challenges and potential solutions. The article covers requirements analysis, design, implementation, verification and validation, maintenance and evolution as well as organizational aspects. It also provides an overview of the articles which are part of this special section and address particular issues of diverse systems development.

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“…Future work will include the integration of more existing tools and the development of new ones in the AS-MEE IDE to better support model evolution activities [12] such as model refinement, model refactoring, model inconsistency management, etc. Today, only limited support is available in model-based development tools for these activities, but a lot of research is being carried out in this particular field, especially for language engineering, to establish synergies between model-based approaches and many other areas of software engineering including software reverse and re-engineering, generative techniques, grammarware, aspect-oriented programming, etc.…”

Section: Related Work and Future Directionsmentioning

confidence: 99%

Model-Driven Language Engineering: The ASMETA Case Study

Gargantini

Riccobene

Scandurra

2008

2008 the Third International Conference on Software Engineering Advances

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This paper reports our experience in exploiting the metamodelling approach of model-driven language engineering to define a standard modelling language for the Abstract State Machines (ASMs) formal method, and develop a general framework (ASMETA) for a wide interoperability of ASM tools in a model-driven development context. We describe the requirements to fulfill and the design/-implementation/validation/tools development steps necessary to support such a language engineering life cycle. We finally discuss the benefits/limits of a model-driven language engineering approach with respect to traditional techniques primarily used for the same goal.

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Challenges in Software Evolution

Cited by 150 publications

References 28 publications

Software Unbundling: Challenges and Perspectives

Software Unbundling: Challenges and Perspectives

Software diversity: state of the art and perspectives

Model-Driven Language Engineering: The ASMETA Case Study

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