How do scientists develop and use scientific software?

Hannay, Jo Erskine; MacLeod, Carolyn; Singer, Janice; Langtangen, Hans Petter; Pfahl, Dietmar; Wilson, Gregory V.

doi:10.1109/secse.2009.5069155

Cited by 211 publications

(190 citation statements)

References 5 publications

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“…On the contrary, the AFA framework abstracts the combined power of several architectural styles and thus facilitates the implementation of new requirements by specific changes in the AFA structure (coordinators and set of aspects). The advantage of such a structure is that an average engineer [20] with limited knowledge about e.g., design patterns, object-oriented programming, or available frameworks operates with simple concepts in each category. This limits the numbers of design and implementation decisions an average engineer would have to make.…”

Section: Discussionmentioning

confidence: 99%

Structuring Complexity Issues for Efficient Realization of Agile Business Requirements in Distributed Environments

Mordinyi

Kühn

Strobel

2010

Lecture Notes in Business Information Processing

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Abstract.One of the ideas of agile software development is to respond to changes rather than following a plan. Constantly changing businesses result in changing requirements, to be handled in the development process. Therefore, it is essential that the underlying software architecture is capable of managing agile business processes. However, criticism on agile software development states that it lacks paying attention to architectural and design issues and therefore is bound to engender suboptimal design-decisions. We propose an architectural framework, that by explicitly distinguishing computational, coordinational, organizational, distributional, and communicational models offers a high degree of flexibility regarding architectural and design changes. The framework strength is facilitated by a) combining the characteristics and properties of architectural styles captured in a simple API, and b) offering a predefined architectural structure to the developer of distributed applications to cope with complexities of distributed environments. The benefit of our approach is a clear architectural design with minimal mutual effects of the models with respect to changes, accompanied by an efficient realization of new business requirements.

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Section: Discussionmentioning

confidence: 99%

Structuring Complexity Issues for Efficient Realization of Agile Business Requirements in Distributed Environments

Mordinyi

Kühn

Strobel

2010

Lecture Notes in Business Information Processing

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“…Hannay et al [2009] investigated how scientists develop software, using an online survey. The research concluded that, despite software being crucial to scientific practice, the dissemination of knowledge about the use and development of software occurred internally within disciplines.…”

Section: Scientific Programming In Practicementioning

confidence: 99%

Bridging the Chasm

Storer

2017

ACM Comput. Surv.

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The use of software is pervasive in all fields of science. Associated software development efforts may be very large, long lived, and complex, requiring the commitment of significant resources. However, several authors have argued that the “gap” or “chasm” between software engineering and scientific programming is a serious risk to the production of reliable scientific results, as demonstrated in a number of case studies. This article reviews the research that addresses the gap, exploring how both software engineering and research practice may need to evolve to accommodate the use of software in science.

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“…A recent study among scientists showed that over 95% are self-taught (Hannay et al, 2009), and Greg Wilson, who has taught software development to scientists over the past two decades, came to the conclusion that more 'advanced' topics such as object-oriented programming, XML, and Make had to be dropped from the curriculum (Wilson, 2016). Hence, for the solution to be adopted by the intended user base, it must present researchers with a simple interface to XMPP, that does not require them to understand the intricacies of the XMPP protocol or XML, and does not require them to deal with issues of multithreading and asynchronous calls.…”

Section: Simple Interface To Xmppmentioning

confidence: 99%

Studying Complex Interactions in Real Time: An XMPP-based Framework for Behavioral Experiments

Mønster¹

2017

Proceedings of the 2nd International Conference on Complexity, Future Information Systems and Risk

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Abstract:The study of human behavior must take into account the social context, and real-time, networked experiments with multiple participants is one increasingly popular way to achieve this. In this paper a framework based on Python and XMPP is presented that aims to make it easy to develop such behavioral experiments. An illustrative example of how the framework can be used is also presented. This example is a real experiment, which is currently gathering data in the lab.

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How do scientists develop and use scientific software?

Cited by 211 publications

References 5 publications

Structuring Complexity Issues for Efficient Realization of Agile Business Requirements in Distributed Environments

Structuring Complexity Issues for Efficient Realization of Agile Business Requirements in Distributed Environments

Bridging the Chasm

Studying Complex Interactions in Real Time: An XMPP-based Framework for Behavioral Experiments

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