Browsing Computer Science by Title
Now showing items 46-65 of 549
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Automated procedure clustering for reverse engineering PL/SQL programs
(ACM, 2016)PL/SQL programs are mainly composed of procedures that interact with a database. These procedures are grouped into packages at the architecture design level for increasing modularity and maintainability. However, the ... -
Automated refinement of models for model-based testing using exploratory testing
(Springer International Publishing, 2017-09)Model-based testing relies on models of the system under test to automatically generate test cases. Consequently, the effectiveness of the generated test cases depends on models. In general, these models are created manually, ... -
Automated testing of systems of systems
(Springer, 2023)There are various kinds of software applications like mobile and Web applications. These applications have different types of user interfaces and user interaction methods. Hence, test automation tools are either dedicated ... -
Automated Web application testing driven by pre-recorded test cases
(Elsevier, 2022-11)There are fully automated approaches proposed for Web application testing. These approaches mainly rely on tools that explore an application by crawling it. The crawling process results in a state transition model, which ... -
Automatic fall detection for elderly by using features extracted from skeletal data
(IEEE, 2013)Automatic detection of unusual events such as falls is very important especially for elderly people living alone. Realtime detection of these events can reduce the health risks associated with a fall. In this paper, we ... -
Automatically learning usage behavior and generating event sequences for black-box testing of reactive systems
(The ACM Digital Library, 2019-06)We propose a novel technique based on recurrent artificial neural networks to generate test cases for black-box testing of reactive systems. We combine functional testing inputs that are automatically generated from a model ... -
Autotuning runtime specialization for sparse matrix-vector multiplication
(ACM, 2016-04)Runtime specialization is used for optimizing programs based on partial information available only at runtime. In this paper we apply autotuning on runtime specialization of Sparse Matrix-Vector Multiplication to predict ... -
Availability analysis of software architecture decomposition alternatives for local recovery
(2017)We present an efficient and easy-to-use methodology to predict—at design time—the availability of systems that support local recovery. Our analysis techniques work at the architectural level, where the software designer ... -
Bandwidth prediction in low-latency chunked streaming
(The ACM Digital Library, 2019-06)HTTP adaptive streaming with chunked transfer encoding can be used to offer low-latency streaming without sacrificing the coding efficiency. While this allows a media segment to be generated and delivered at the same time, ... -
Bandwidth prediction in low-latency media transport
(ACM, 2023-06-16)Designing a robust bandwidth prediction algorithm for low-latency media transport that can quickly adapt to varying network conditions is challenging. In this paper, we present the working principles of a hybrid bandwidth ... -
Bargaining chips: Coordinating one-to-many concurrent composite negotiations
(ACM, 2021)This study presents Bargaining Chips: a framework for one-to-many concurrent composite negotiations, where multiple deals can be reached and combined. Our framework is designed to mirror the salient aspects of real-life ... -
BCPriPIoT: BlockChain utilized privacy-preservation mechanism for IoT devices
(IEEE, 2021)Security and privacy are the primary concerns for IoT devices but because of their inherent limitation both in terms of processing and energy, IoT devices cannot be deployed at their full scale. To alleviate such security ... -
A benchmark for inpainting of clothing images with irregular holes
(Springer, 2020)Fashion image understanding is an active research field with a large number of practical applications for the industry. Despite its practical impacts on intelligent fashion analysis systems, clothing image inpainting has ... -
Benchmarking the second edition of the omnidirectional media format standard
(IEEE, 2022)Omnidirectional MediA Format (OMAF) is the first worldwide virtual reality (VR) standard to store and distribute immersive media, completed in 2019. Later, in 2021, the second edition of this standard (OMAF v2) was published. ... -
The benefits of server hinting when DASHing or HLSing
(ACM, 2022-03-17)Streaming clients almost always compete for the available bandwidth and server capacity. Not every client's playback buffer conditions will be the same, though, nor should be the priority with which the server processes ... -
BERT2OME: Prediction of 2′-O-methylation modifications from RNA sequence by transformer architecture based on BERT
(IEEE, 2023-06)Recent work on language models has resulted in state-of-the-art performance on various language tasks. Among these, Bidirectional Encoder Representations from Transformers (BERT) has focused on contextualizing word embeddings ... -
Best papers of the 2016 ACM multimedia systems (MMSys) conference and workshop on network and operating system support for digital audio and video (NOSSDAV) 2016
(The ACM Digital Library, 2017-06)N/A -
Bidding support by the pocket negotiator improves negotiation outcomes
(Springer, 2023)This paper presents the negotiation support mechanisms provided by the Pocket Negotiator (PN) and an elaborate empirical evaluation of the economic decision support (EDS) mechanisms during the bidding phase of negotiations ... -
A big data processing framework for self-healing internet of things applications
(IEEE, 2016)In this study, we introduce a big data processing framework that provides self-healing capability in the Internet of Things domain. We discuss the high-level architecture of this framework and its prototype implementation. ... -
BioCode: A data-driven procedure to learn the growth of biological networks
(IEEE, 2022-11)Probabilistic biological network growth models have been utilized for many tasks including but not limited to capturing mechanism and dynamics of biological growth activities, null model representation, capturing anomalies, ...
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