Search · four archives
Search · four archives
23 papers · ranked by Valyu relevance
Kaveh Shahedi, Nana Gyambrah, Heng Li, Maxime Lamothe + 2 more
Performance is a critical quality attribute in software development, yet the impact of method-level code changes on performance evolution remains poorly understood. While developers often make intuitive assumptions about which types of modifications are likely to cause performance regressions or improvements, these…
Vivek Basavegowda Ramu
- PerfDetectiveAI, a conceptual framework for performance gap analysis and suggestion in software applications is introduced in this research. For software developers, retaining a competitive edge and providing exceptional user experiences depend on maximizing application speed. But investigating cutting-edge…
Tjorven Hinzke, Benoit J. Kunath, J. Alfredo Blakeley-Ruiz, Abigail Korenek + 3 more
Metaproteomics characterizes and compares molecular phenotypes of organisms in communities by comprehensively analyzing their protein expression profiles using statistical methods. However, not all statistical methods are suitable for determining differentially abundant protein groups in metaproteomic analyses.…
Authors not listed
Accurate and efficient calculation of alchemical free energies is a critical challenge in computational chemistry, frequently hindered by the inherent limitations of conventional Thermodynamic Integration (TI) methods. These limitations include poor phasespace overlap between discrete alchemical states, inefficient…
Authors not listed
Background: Pharmaceutical batch scheduling in multi-reactor configurations presents complex optimization challenges under operational uncertainty, yet limited research addresses how parallel processing capacity affects heuristic performance and predictive modeling. Objectives: This study investigated scheduling…
Theo Desachy, Marc Thevenet, Samuel Garcia, Anistasha Lightning + 3 more
Studies with low statistical power reduce the probability of detecting true effects and often lead to overestimated effect sizes, undermining the reproducibility of scientific results. While several free statistical software tools are available for calculating statistical power, they often do not account for the…
Luca Traini, Vittorio Cortellessa, Daniele Di Pompeo, Michele Tucci
Microbenchmarking is a widely used form of performance testing in Java software. A microbenchmark repeatedly executes a small chunk of code while collecting measurements related to its performance. Due to Java Virtual Machine optimizations, microbenchmarks are usually subject to severe performance fluctuations in the…
Onkar Sadekar, Sandeep Chowdhary, M. S. Santhanam, Federico Battiston
'Federico Battiston'] Advancements in technology have recently allowed us to collect and analyse large-scale fine-grained data about human performance, drastically changing the way we approach sports. Here, we provide the first comprehensive analysis of individual and team performance in One-Day International cricket…
Dong Zheng, Rongxing Wu, Muhammad Sufian, Nabil Ben Kahla + 10 more
'Miniar Atig' 'Ahmed Farouk Deifalla' 'Oussama Accouche' 'Marc Azab' 'Shazim Memon' 'Mingli Cao' 'Junfei Zhang' 'Mehran Khan' 'Mizan Ahmed' 'Jincheng Liu'] Research has focused on creating new methodologies such as supervised machine learning algorithms that can easily calculate the mechanical properties of…
Corey James Wedding, Carl Thomas Woods, Wade Heath Sinclair, Anthony Scott Leicht
'Anthony Scott Leicht'] In professional team sports, like Rugby League, performance analysis has become an integral part of operational practices. This has helped practitioners gain deeper insight into phenomena like team and athlete behaviour and understanding how such behaviour may be influenced by various contextual…
Zhenlan Ji, Pingchuan Ma, Shuai Wang
—Debugging performance anomalies in databases is challenging. Causal inference techniques enable qualitative and quantitative root cause analysis of performance downgrades. Nevertheless, causality analysis is challenging in practice, particularly due to limited observability. Recently, chaos engineering (CE) has been…
Authors not listed
We developed OpenStats, a user-friendly web application that brings the power of the R language to researchers through a high-level interface and broad support for statistical methods such as t-tests and ANOVA. OpenStats was integrated into our electronic lab notebook Chemotion ELN via its third-party API, enabling…
Mohamed Bilel Besbes, Diego Elias Costa, Suhaib Mujahid, Gregory Mierzwinski + 1 more
'Gregory Mierzwinski' 'Marco Castelluccio'] Performance regressions in software systems can lead to significant financial losses and degraded user satisfaction, making their early detection and mitigation critical. Despite the importance of practices that capture performance regressions early, there is a lack of…
Authors not listed
Incorporating prior domain knowledge into Bayesian optimization (BO) remains difficult for statistical methods, which also typically suffer from limited interpretability. Large language models (LLMs) offer complementary strengths in reasoning and knowledge integration, but it remains unclear when and how they improve…
Tanguy Pace-Loscos, Jocelyn Gal, Sara Contu, Renaud Schiappa + 2 more
'Emmanuel Chamorey' 'Dorian Culié'] Background In the realm of biomedical research, the growing volume, diversity and quantity of data has escalated the demand for statistical analysis as it is indispensable for synthesizing, interpreting, and publishing data. Hence the need for accessible analysis tools drastically…
Marc Brysbaert, Dries Debeer
This tutorial provides guidelines for conducting linear mixed effects (LME) analyses for simple designs, aimed at researchers familiar with t-tests, analysis of variance (ANOVA) and linear regression. First, we compare LME analyses with traditional methods when participants are the only source of random variation. We…
Michelle Frankot, Peyton M. Mueller, Michael E. Young, Cole Vonder Haar
Statistical errors in preclinical science are a barrier to reproducibility and translation. For instance, linear models (e.g., ANOVA, linear regression) may be misapplied to data that violate assumptions. In behavioral neuroscience and psychopharmacology, linear models are frequently applied to interdependent or…
Authors not listed
Mechanical agitation (stirring) is a cornerstone of organic synthesis, but has received little scientific attention due to its “obvious” role in facilitating reactions. A very recent study by Huang and coworkers compared the isolated yields in approximately 600 paired stirred and unstirred reactions, across a range of…
Jularat Chumnaul, Mohammad Sepehrifar, Leona Cilar Budler
Data analysis can be accurate and reliable only if the underlying assumptions of the used statistical method are validated. Any violations of these assumptions can change the outcomes and conclusions of the analysis. In this study, we developed Smart Data Analysis V2 (SDA-V2), an interactive and user-friendly web…
Danni Tu, Bridget Mahony, Tyler M. Moore, Maxwell A. Bertolero + 6 more
Many scientific questions can be formulated as hypotheses about conditional correlations. For instance, in tests of cognitive and physical performance, the trade-off between speed and accuracy motivates study of the two variables together. A natural question is whether speed-accuracy coupling depends on other…
Ozan Vardal, Theodoros Karapanagiotidis, Tom Stafford, Anders Drachen + 1 more
When humans perform repetitive tasks over long periods, their performance is not constant. People may drift in and out of states that might be loosely categorised as engagement, disengagement or ‘flow’ and these will be reflected in multiple aspects of their performance (for example, reaction time, accuracy, criteria…
Michael J. Crosse, John J. Foxe, Sophie Molholm
Statistical hypothesis testing and effect size measurement are routine parts of quantitative research. Advancements in computer processing power have greatly improved the capability of statistical inference through the availability of resampling methods. However, many of the statistical practices used today are based…
Michael J. Crosse, John J. Foxe, Sophie Molholm
Statistical hypothesis testing and effect size measurement are routine parts of quantitative research. Advancements in computer processing power have greatly improved the capability of statistical inference through the availability of resampling methods. However, many of the statistical practices used today are based…