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- research-articleMay 2024Honorable Mention
How Users Experience Closed Captions on Live Television: Quality Metrics Remain a Challenge
- Mariana Arroyo Chavez,
- Molly Feanny,
- Matthew Seita,
- Bernard Thompson,
- Keith Delk,
- Skyler Officer,
- Abraham Glasser,
- Raja Kushalnagar,
- Christian Vogler
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing SystemsArticle No.: 54, Pages 1–16https://doi.org/10.1145/3613904.3641988This paper presents a mixed methods study on how deaf, hard of hearing and hearing viewers perceive live TV caption quality with captioned video stimuli designed to mirror TV captioning experiences. To assess caption quality, we used four commonly-used ...
- research-articleJune 2024
TerraMetrics: An Open Source Tool for Infrastructure-as-Code (IaC) Quality Metrics in Terraform
ICPC '24: Proceedings of the 32nd IEEE/ACM International Conference on Program ComprehensionPages 450–454https://doi.org/10.1145/3643916.3644439Infrastructure-as-Code (IaC) constitutes a pivotal DevOps methodology, leading edge of software deployment onto cloud platforms. IaC relies on source code files rather than manual configuration to manage the infrastructure of a software system. Terraform,...
- research-articleSeptember 2024
Abnormality identification of breast mammogram image segmentation with iterative restricted mode algorithm
International Journal of Advanced Intelligence Paradigms (IJAIP), Volume 29, Issue 1Pages 72–85https://doi.org/10.1504/ijaip.2024.141526The breast image division is a regular issue in medicinal picture preparing. For the scientist to remove the data with great determination without loss of points of interest. In this paper, we propose a division strategy by utilising the iterative ...
- ArticleDecember 2023
A Robust Preprocessing Method for Measuring Image Visual Quality Using Log-Polar FFT Features
Progress in Artificial Intelligence and Pattern RecognitionPages 445–454https://doi.org/10.1007/978-3-031-49552-6_38AbstractTo register two images, existing methods normally estimate the parameters of an affine transform, and then perform an inverse affine transform to the test image by using the estimated parameters. Any metric can then be applied to the reference ...
- research-articleNovember 2022
Dynamic quality metric oriented error bounded lossy compression for scientific datasets
SC '22: Proceedings of the International Conference on High Performance Computing, Networking, Storage and AnalysisArticle No.: 62, Pages 1–15With ever-increasing execution scale of the high performance computing (HPC) applications, vast amount of data are being produced by scientific research every day. Error-bounded lossy compression has been considered a very promising solution to address ...
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Customizable visualization of quality metrics for object-oriented variability implementations
SPLC '22: Proceedings of the 26th ACM International Systems and Software Product Line Conference - Volume APages 43–54https://doi.org/10.1145/3546932.3547073Many large-scale software systems intensively implement variability to reuse software and speed up development. Such mechanisms, however, bring additional complexity, which eventually leads to technical debt, threatening the software quality, and ...
- short-paperSeptember 2022
IDE-assisted visualization of indebted OO variability implementations
SPLC '22: Proceedings of the 26th ACM International Systems and Software Product Line Conference - Volume BPages 74–77https://doi.org/10.1145/3503229.3547066Object-Oriented (OO) variability-rich software systems often implement their variability in a single codebase, using the mechanisms provided by the host language (i.e., inheritance, overloading, design patterns). This variability is not documented and ...
- short-paperOctober 2022
Maintenance and evolution: GrimoireLab graal
MSR '22: Proceedings of the 19th International Conference on Mining Software RepositoriesPages 732–734https://doi.org/10.1145/3524842.3528521E-type open-source software inevitably grows in size and complexity over time, and without performing anti-regressive tasks this type of software has a limited lifespan. In this project, a case study of the effect of such anti-regressive tasks is ...
- short-paperMarch 2022
Novel temporal masking framework for perceptually optimized video coding
MHV '22: Proceedings of the 1st Mile-High Video ConferencePages 119–120https://doi.org/10.1145/3510450.3517306The development of the 1st edition of HEVC by the Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T Video Coding Experts Group (VCEG) and ISO/IEC Moving Pictures Expert Group (MPEG) was officially finalized in January 2013 [11], thereby ...
- research-articleOctober 2021
Investigating Test Smells in JavaScript Test Code
SAST '21: Proceedings of the 6th Brazilian Symposium on Systematic and Automated Software TestingPages 36–45https://doi.org/10.1145/3482909.3482915Writing automated test cases is a challenging and demanding activity. The test case itself is software that requires proper design to ensure it can be implemented and maintained as long as the production code evolves. Like code smells, test smells may ...
- abstractAugust 2021
Data Quality for Machine Learning Tasks
- Nitin Gupta,
- Shashank Mujumdar,
- Hima Patel,
- Satoshi Masuda,
- Naveen Panwar,
- Sambaran Bandyopadhyay,
- Sameep Mehta,
- Shanmukha Guttula,
- Shazia Afzal,
- Ruhi Sharma Mittal,
- Vitobha Munigala
KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data MiningPages 4040–4041https://doi.org/10.1145/3447548.3470817The quality of training data has a huge impact on the efficiency, accuracy and complexity of machine learning tasks. Data remains susceptible to errors or irregularities that may be introduced during collection, aggregation or annotation stage. This ...
- research-articleJanuary 2021
Context-Based Evaluation of Dimensionality Reduction Algorithms—Experiments and Statistical Significance Analysis
ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 15, Issue 2Article No.: 24, Pages 1–40https://doi.org/10.1145/3428077Dimensionality reduction is a commonly used technique in data analytics. Reducing the dimensionality of datasets helps not only with managing their analytical complexity but also with removing redundancy. Over the years, several such algorithms have ...
- tutorialAugust 2020
Overview and Importance of Data Quality for Machine Learning Tasks
- Abhinav Jain,
- Hima Patel,
- Lokesh Nagalapatti,
- Nitin Gupta,
- Sameep Mehta,
- Shanmukha Guttula,
- Shashank Mujumdar,
- Shazia Afzal,
- Ruhi Sharma Mittal,
- Vitobha Munigala
KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data MiningPages 3561–3562https://doi.org/10.1145/3394486.3406477It is well understood from literature that the performance of a machine learning (ML) model is upper bounded by the quality of the data. While researchers and practitioners have focused on improving the quality of models (such as neural architecture ...
- research-articleJanuary 2020
Exploring the utility of metadata record graphs and network analysis for metadata quality evaluation and augmentation
International Journal of Metadata, Semantics and Ontologies (IJMSO), Volume 14, Issue 2Pages 112–123https://doi.org/10.1504/ijmso.2020.108326Our study explores the possible uses and effectiveness of network analysis, including Metadata Record Graphs, for evaluating collections of metadata records at scale. We present the results of an experiment applying these methods to records in the ...
- research-articleDecember 2019
Q-Tag: a transparent solution to measure ads viewability rate in online advertising campaigns
CoNEXT '19: Proceedings of the 15th International Conference on Emerging Networking Experiments And TechnologiesPages 151–157https://doi.org/10.1145/3359989.3365434Viewability is one of the most important metrics used in ad-tech to measure the performance quality of ad campaigns. The viewability standard defines the visibility conditions an ad impression must meet to achieve a sufficient marketing effect to be ...
- demonstrationNovember 2019
Towards a qualitative analysis of interpolation methods for deformable moving regions
SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information SystemsPages 592–595https://doi.org/10.1145/3347146.3359368Spatio-temporal data on the evolution of real-world phenomena are normally acquired as snapshots in discrete time. The continuous evolution of a phenomenon between observations can be approximated using interpolation methods capable of generating ...
- abstractOctober 2019
A Quality-oriented Approach to Recommend Move Method Refactorings
SBQS '19: Proceedings of the XVIII Brazilian Symposium on Software QualityPage 315https://doi.org/10.1145/3364641.3364680Refactoring processes are common in large software systems, especially when developers neglect architectural erosion process for long periods. Even though there are many refactoring approaches, very few consider the refactoring impact on the software ...
- research-articleMay 2019
Software metrics artifacts making web quality measurable: AST 2019 invited paper
AST '19: Proceedings of the 14th International Workshop on Automation of Software TestPages 1–6https://doi.org/10.1109/AST.2019.000-2Mining open source repositories introduces an effective approach to put in practice empirical software engineering in a variety of technologies. Kernel development (Linux) first and then Internet (Chromium) and more recently cloud orchestration (...
- ArticleApril 2019
Blind Quality Assessment for Slice of Microtomographic Image
FRUCT'24: Proceedings of the 24th Conference of Open Innovations Association FRUCTArticle No.: 24, Pages 170–178The paper considers a new algorithm for blind quality assessment of a slice of X-ray microtomographic image. We selected the following factors impacting on micro-CT image quality with respect to Digital Rock technology: smoothness, sharpness, contrast, ...
- research-articleJanuary 2019
Quality metrics for RDF graph summarization
- Mussab Zneika,
- Dan Vodislav,
- Dimitris Kotzinos,
- Dhaval Thakker,
- Daniel Schwabe,
- Kouji Kozaki,
- Roberto García,
- Marco Brambilla,
- Vania Dimitrova,
- Dhaval Thakker,
- Daniel Schwabe,
- Roberto García,
- Kouji Kozaki,
- Marco Brambilla,
- Vania Dimitrova
RDF Graph Summarization pertains to the process of extracting concise but meaningful summaries from RDF Knowledge Bases (KBs) representing as close as possible the actual contents of the KB both in terms of structure and data. RDF Summarization allows ...