19 papers · ranked by Valyu relevance
Das, Suddhasvatta, Gary, Kevin
Software developed using modern agile practices delivers a stream of software versions that require continuous regression testing rather than testing once close to the delivery or maintenance phase, as assumed by classical regression-testing theory. In this work, we formalize the phenomenon of continuous or…
Animesh Chaturvedi
This is to certify that the thesis entitled, "Change Impact Analysis Based Regression Testing of Web Services", submitted by Animesh Chaturvedi, Roll No. 1010101 in partial fulfillment of the requirements for the award of Master of Technology Degree in Computer Science & Engineering at PDPM Indian Institute of…
Tommi Oinonen, Tri Quach, Antti Karjalainen
Regression testing is an important part of quality control in both software and embedded products, where hardware is involved. It is also one of the most expensive and time consuming part of the product cycle. To improve the cost effectiveness of the development cycle and the regression testing, we use test case…
Ali M. Alakeel
Program assertions have been recognized as a supporting tool during software development, testing, and maintenance. Therefore, software developers place assertions within their code in positions that are considered to be error prone or that have the potential to lead to a software crash or failure. Similar to any other…
Sabrina Souto, Marcelo d’Amorim
This paper proposes EvoSPLat, a regression testing technique for configurable systems. EvoSPLat builds on our previouslydeveloped technique, SPLat, which explores all dynamically reachable configurations from a test. EvoSPLat is tuned for two scenarios of use in regression testing: Regression Configuration Selection…
Quang-Hung Luu, Man Fai Lau, Sebastian Ng, Tsong Yueh Chen
Regression is one of the most commonly used statistical techniques. However, testing regression systems is a great challenge because of the absence of test oracle. In this paper, we show that Metamorphic Testing is an effective approach to test multiple linear regression systems. In doing so, we identify intrinsic…
Sebastian Ruland, Malte Lochau
Unit testing is one of the most established quality-assurance techniques for software development. One major advantage of unit testing is the adjustable trade-off between efficiency (i.e., testing effort) and effectiveness (i.e., fault-detection probability). To this end, various strategies have been proposed to…
Farrukh Shahzad Ahmed, Awais Majeed, Tamim Ahmed Khan, Shahid Nazir Bhatti + 1 more
'Shahid Nazir Bhatti' 'Ahmed Mancy Mosa'] Software Test Case Prioritization (TCP) is an effective approach for regression testing to tackle time and budget constraints. The major benefit of TCP is to save time through the prioritization of important test cases first. Existing TCP techniques can be categorized as…
Lukas Forer, Sebastian Schönherr
The workflow management system Nextflow builds together with the nf-core community an essential ecosystem in Bioinformatics. However, ensuring the correctness and reliability of large and complex pipelines is challenging, since a unified and automated unit-style testing framework specific to Nextflow is still missing.…
Malcolm J Burns, Gavin J Nixon, Carole A Foy, Neil Harris
Background As real-time quantitative PCR (RT-QPCR) is increasingly being relied upon for the enforcement of legislation and regulations dependent upon the trace detection of DNA, focus has increased on the quality issues related to the technique. Recent work has focused on the identification of factors that contribute…
Yanguang Chen, Guy J-P. Schumann
In geo-statistics, the Durbin-Watson test is frequently employed to detect the presence of residual serial correlation from least squares regression analyses. However, the Durbin-Watson statistic is only suitable for ordered time or spatial series. If the variables comprise cross-sectional data coming from spatial…
Authors not listed
Due to a production error, there was a mistake in [T1] as published. Following a correction requested during production, a change was carried out to the upper part of the table (Univariable regression analyses) and not the lower part of the table (multivariate regression). The corrected [T1] appears below. The…
Paul Francoeur, Daniel Penaherrera, David Koes
The immense size of chemical space, the relative scarcity of high quality data, and the cost of running experiments to accurately measure molecular properties makes active learning (AL) an attractive approach to efficiently explore the space and train high-quality models for molecular property prediction. While AL is…
Marco Enrico Piras, Luca Pireddu, Gianluigi Zanetti
Workflow managers for scientific analysis provide a high-level programming platform facilitating standardization, automation, collaboration and access to sophisticated computing resources. The Galaxy workflow manager provides a prime example of this type of platform. As compositions of simpler tools, workflows…
Rance Nault, Satabdi Saha, Sudin Bhattacharya, Jack Dodson + 3 more
The application of single-cell RNA sequencing (scRNAseq) for the evaluation of chemicals, drugs, and food contaminants presents the opportunity to consider cellular heterogeneity in pharmacological and toxicological responses. Current differential gene expression analysis (DGEA) methods focus primarily on two group…
Maria H. Rasmussen, Chenru Duan, Heather J. Kulik, Jan Halborg Jensen
With the increasingly more important role of machine learning (ML) models in chemical research, the need for putting a level of confidence to the model predictions naturally arises. Several methods for obtaining uncertainty estimates have been proposed in recent years but consensus on the evaluation of these have yet…
Authors not listed
Antioxidant tests have been applied in various tests of foods and beverages in various forms, even in nanoscale. Information on antioxidant activity is important as an indicator that handles free radicals. So far, many antioxidant tests have used DPPH reagent, commonly known as the DPPH method. By referring to SNI, its…
Bianca A. V. Alberton, Thomas E. Nichols, Humberto R. Gamba, Anderson M. Winkler
The multiple testing problem arises not only when there are many voxels or vertices in an image representation of the brain, but also when multiple contrasts of parameter estimates (that is, hypotheses) are tested in the same general linear model. Here we argue that a correction for this multiplicity must be performed…
Murat Cihan Sorkun, Dajt Mullaj, J. M. Vianney A. Koelman, Süleyman Er
Visualizing chemical spaces streamlines the analysis of molecular datasets by reducing the information to human perception level, hence it forms an integral piece of molecular engineering, including chemical library design, high-throughput screening, diversity analysis, and outlier detection. We present here ChemPlot…