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The recently introduced continuous Skip-gram model is an efficient method for learning high-quality distributed vector representations that capture a large number of precise syntactic and semantic word relationships. In this paper we present several extensions that improve both the quality of the vectors and the training speed. By subsampling of the(More)
We propose two novel model architectures for computing continuous vector representations of words from very large data sets. The quality of these representations is measured in a word similarity task, and the results are compared to the previously best performing techniques based on different types of neural networks. We observe large improvements in(More)
We consider the problem of building high-level, class-specific feature detectors from only unlabeled data. For example, is it possible to learn a face detector using only unlabeled images? To answer this, we train a deep sparse autoencoder on a large dataset of images (the model has 1 billion connections, the dataset has 10 million 200×200 pixel(More)
Model-Integrated Computing (MIC) is an approach to Model-Driven Architecture (MDA), which has been developed primarily for embedded systems. MIC places strong emphasis on the use of domain-specific modeling languages (DSML-s) and model transformations. A metamodeling process facilitated by the Generic Modeling Environment (GME) tool suite enables the rapid(More)
Metamodeling facilitates the rapid, inexpensive development of domain-specific modeling languages (DSML-s). However, there are still challenges hindering the wide-scale industrial application of model-based design. One of these unsolved problems is the lack of a practical, effective method for the formal specification of DSML semantics. This problem has(More)
Data coupling between modules, especially common coupling, has long been considered a source of concern in software design, but the issue is somewhat more complicated for products that are comprised of kernel modules together with optional nonkernel modules. This paper presents a refined categorization of common coupling based on definitions and uses(More)
Post-delivery fault reporting and correction are important activities in the software maintenance process. It is worthwhile to study these activities in order to understand the difference between open-source and closed-source software products from the maintenance perspective. This paper proposes three metrics to evaluate the post-delivery fault reporting(More)
An emerging common trend in model-based design of embedded software and systems is the adoption of Domain-Specific Modeling Languages (DSMLs). While abstract syntax metamodeling enables the rapid and inexpensive development of DSMLs, the specification of DSML semantics is still a hard problem. In previous work, we have developed methods and tools for the(More)
We compared and contrasted the maintainability of four open-source operating systems: Linux, FreeBSD, NetBSD, and OpenBSD. We used our categorization of common coupling in kernel-based software to highlight future maintenance problems. An unsafe definition is a definition of a global variable that can affect a kernel module if that definition is changed.(More)