39,856 research outputs found
Supporting End-User Development through a New Composition Model: An Empirical Study
End-user development (EUD) is much hyped, and its impact has outstripped even the most optimistic forecasts. Even so, the vision of end users programming their own solutions
has not yet materialized. This will continue to be so unless we in both industry and the research community set ourselves the ambitious challenge of devising end to end an end-user application development model for developing a new age of EUD tools. We have embarked on this venture, and this paper presents the main insights and outcomes of our research and development efforts as part of a number of successful EU research projects. Our proposal not only aims to reshape software engineering to meet the needs of EUD but also to refashion its components as solution building blocks instead of programs and software developments. This
way, end users will really be empowered to build solutions based on artefacts akin to their expertise and understanding of ideal solution
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Similarities, challenges and opportunities of wikipedia content and open source projects
Copyright @ 2012 John Wiley & Sons, Ltd.Several years of research and evidence have demonstrated that Open Source Software (OSS) portals often contain a large amount of software projects that simply do not evolve, developed by relatively small communities, struggling to attract a sustained number of contributors. These portals have started to
increasingly act as a storage for abandoned projects, and researchers and practitioners should try and point out how to take advantage of such content. Similarly, other online content portals (like Wikipedia) could be harvested for valuable content. In this paper we argue that, even with differences in the requested expertise, many projects reliant on content and contributions by users undergo a similar evolution, and follow similar patterns: when a project fails to attract contributors, it appears to be not evolving, or abandoned. Far from a negative finding, even those projects could provide valuable content that should be harvested and identified based on common characteristics: by using the attributes of âusefulnessâ and âmodularityâ we isolate valuable content in both Wikipedia pages and OSS projects
Computers in writing instruction
For computers to be useful in writing instruction, innovations should be valuable for students and feasible for teachers to implement. Research findings yield contradictory results in measuring the effects of different uses of computers in writing, in part because of the methodological complexity of such measurements. Yet the computer seems to be a promising tool in several new, theoretically based approaches to writing instruction. Research of these kinds of computer applications should continue, paying attention to context variables that influence the implementation process importantly
Neural-Augmented Static Analysis of Android Communication
We address the problem of discovering communication links between
applications in the popular Android mobile operating system, an important
problem for security and privacy in Android. Any scalable static analysis in
this complex setting is bound to produce an excessive amount of
false-positives, rendering it impractical. To improve precision, we propose to
augment static analysis with a trained neural-network model that estimates the
probability that a communication link truly exists. We describe a
neural-network architecture that encodes abstractions of communicating objects
in two applications and estimates the probability with which a link indeed
exists. At the heart of our architecture are type-directed encoders (TDE), a
general framework for elegantly constructing encoders of a compound data type
by recursively composing encoders for its constituent types. We evaluate our
approach on a large corpus of Android applications, and demonstrate that it
achieves very high accuracy. Further, we conduct thorough interpretability
studies to understand the internals of the learned neural networks.Comment: Appears in Proceedings of the 2018 ACM Joint European Software
Engineering Conference and Symposium on the Foundations of Software
Engineering (ESEC/FSE
Handwriting - a forgotten language skill?
Handwriting currently has a low status and profile in literacy education. This paper examines the situation of current handwriting pedagogy in England and considers why handwriting efficiency has been neglected. The paper goes on to identify a number of studies located in the domains of special needs and psychology which re-evaluate the role of handwriting efficiency. These studies suggest that handwriting is more than just motor skill and may make a very important contribution to children's composing of text. Existing research into the way handwriting efficiency affects composing suggests that further research, more appropriate assessment and focused intervention could all make a significant contribution to children's writing progress and might positively affect the progress of the many boys who struggle with writing throughout the primary school years
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