Test-driven code search (TDCS) is an approach to code search and reuse that uses test cases as inputs to form the search query. Together with the test cases that provide more semantics to the search task, keywords taken from class and method names are still required. Therefore, the effectiveness of the approach also relies on how good these keywords are, i.e., how frequently they are chosen by ...

Code duplication is one of the factors that severely complicates the maintenance and evolution of large software systems. Techniques for detecting duplicated code exist but rely mostly on parsers, technology that has proven to be brittle in the face of different languages and dialects. In this paper we show that is possible to circumvent this hindrance by applying a language independent and vis...

SeeSys TM is a system embodying a technique for visualizing statistics associated with code that is divided hierarchically into subsystems, directories, and les. This technique can display the relative sizes of the components in the system, the relative stability of the components, the location of new functionality, and the location of error-prone code with many bug xes. Using animation, it can...

Human vision research aims at understanding the brain processes that enable us to see the world as a structured whole consisting of separate objects. To explain how humans organize a visual pattern, structural information theory starts from the idea that our visual system prefers the organization with the simplest descriptive code, that is, the code that captures a maximum of visual regularity....

This thesis studies methods to solve Visual Question-Answering (VQA) tasks with a Deep Learning framework. As a preliminary step, we explore Long Short-Term Memory (LSTM) networks used in Natural Language Processing (NLP) to tackle Question-Answering (text based). We then modify the previous model to accept an image as an input in addition to the question. For this purpose, we explore the VGG-1...

INVESTIGATION OF SPATIO-TEMPORAL EFFECTS OF FMRI VISUAL FIELD MAPPING TECHNIQUES ON V1 John Janik Marquette University, 2011 Blood oxygenation level dependent functional magnetic resonance imaging has been used extensively for mapping the representation of the visual field within the human brain. Visual field mapping using fMRI has been used clinically to assess patients with cortical pathology...

Calling NAG routines from Visual Basic or Excel can provide a convenient way quickly to develop graphical user interfaces and packages that use mathematical routines The aim of this report is to show how the complete range of NAG C DLL routines can be called directly from Visual Basic and thus allow programmers package builders maximum exibility when incorporating calls to NAG routines into the...

This paper proposed a novel reversible visual secret sharing method. Without any computing, if we stack two transparencies directly, a secret image will appear. Stacking two transparencies after reversing one of transparencies, another secret image will unveil. Different from traditional reversible visual cryptography, the method not only has advantages but also will not have pixel expansion an...

In this paper we introduce a visual approach to functional programming with PLaSM, a design language used for geometric programming and the parametric generation of CAD models. A visual diagram is generated according to very few simple rules, and may be used both for automatically generating the corresponding PLaSM code and for the specification and distribution of computer tasks to be concurre...

In earlier work we have developed three domain specific visual approaches for event-based system specification. The first, ViTABaL-WS, uses the Tool Abstraction (TA) metaphor to support specification of web services composition via higher level data and control flows and generation of BPEL4WS code. The second, Kaitiaki, uses an Event-Query-Filter-Action (EQFA) metaphor to allow visual primitive...