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To design interfaces for exploratory data analysis, we need theories of graphical inference [article]

Jessica Hullman, Andrew Gelman
2021 arXiv   pre-print
Viewing interactive analysis as driven by model checks suggests new directions for software and empirical research around exploratory and visual analysis.  ...  But design philosophies that emphasize exploration over other phases of analysis risk confusing a need for flexibility with a conclusion that exploratory visual analysis is inherently model-free and cannot  ...  For example, not every visualization with a filter is a hypothesis test, but every visualization with a filter condition is a test of the null hypothesis that the filter condition makes no difference compared  ... 
arXiv:2104.02015v2 fatcat:kqfnd7pz6vhuvp5p3peaxlvtli

Peax: interactive visual analysis and exploration of complex clinical phenotype and gene expression association

Michael A Hinterberg, David P Kao, Michael R Bristow, Lawrence E Hunter, J David Port, Carsten Görg
2015 Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing  
We present PEAX (Phenotype-Expression Association eXplorer), built upon open-source software, which integrates visual phenotype model definition with statistical testing of expression data presented concurrently  ...  We combine the web visualization capabilities of Shiny and D3 with the power and speed of R for backend statistical analysis, in order to abstract the scripting required for repetitive analysis of sub-phenotype  ...  In order to wrap the power of R statistical analysis in a web-friendly GUI, we employed RStudio's Shiny software as a visual front-end.  ... 
pmid:25592601 pmcid:PMC4344826 fatcat:rxhnvyvpivch5iyha56mdpihs4

Visual GUI testing in practice: An extended industrial case study [article]

Vahid Garousi, Wasif Afzal, Adem Çağlar, İhsan Berk Işık, Berker Baydan, Seçkin Çaylak, Ahmet Zeki Boyraz, Burak Yolaçan, Kadir Herkiloğlu
2020 arXiv   pre-print
Context: Visual GUI testing (VGT) is referred to as the latest generation GUI-based testing.  ...  comparable to a previous empirical study, e.g., the synchronization between SUT and test tools were not always robust and there were failures in test tools' image recognition features.  ...  Visual GUI testing (VGT) is referred to as the third generation of Graphical User Interface (GUI)-based testing approaches [2, 3] .  ... 
arXiv:2005.09303v2 fatcat:7hycuyjd2rcdxboe62flacftvq

On Introducing Automatic Test Case Generation in Practice: A Success Story and Lessons Learned [article]

Matteo Brunetto, Giovanni Denaro, Leonardo Mariani, Mauro Pezzè
2021 arXiv   pre-print
company, and presents ABT2.0, the test case generator that we developed by tailoring ABT, a research state-of-the-art GUI test generator, to their industrial environment.  ...  The level and quality of automation dramatically affects software testing activities, determines costs and effectiveness of the testing process, and largely impacts on the quality of the final product.  ...  Some techniques generate assertions to reveal regression failures in future releases of the software.  ... 
arXiv:2103.00465v1 fatcat:3dqodv37gvajpcxwdcz2bqsuge

On the long-term use of visual gui testing in industrial practice: a case study

Emil Alégroth, Robert Feldt
2017 Empirical Software Engineering  
Visual GUI Testing (VGT) is a tool-driven technique for automated GUI-based testing that uses image recognition to interact with and assert the correctness of the behavior of a system through its GUI as  ...  To this end, we also present Spotify's Test interface solution for automated GUI-based testing and conclude that it has its own benefits and drawbacks.  ...  Hence, technology that theoretically could be advanced to support automated exploratory GUI-based testing to further mitigate the need of manual testing of software applications.  ... 
doi:10.1007/s10664-016-9497-6 fatcat:jagqa2sy4vfk3fzr74crujf67q

Artificial Intelligence in Software Testing : Impact, Problems, Challenges and Prospect [article]

Zubair Khaliq, Sheikh Umar Farooq, Dawood Ashraf Khan
2022 arXiv   pre-print
Software testing is the process of putting the software to test for some abnormal behaviour of the software. Software testing is a tedious, laborious and most time-consuming process.  ...  The paper also proposes some key contributions of AI in the future to the domain of software testing.  ...  Findings The overall impact of AI techniques on particular software Testing activities can be visualized from [Figure 2].  ... 
arXiv:2201.05371v1 fatcat:2zwt6e7ojbdgff65fcfzh4o3im

An Observe-Model-Exercise* Paradigm to Test Event-Driven Systems with Undetermined Input Spaces

Bao N. Nguyen, Atif M. Memon
2014 IEEE Transactions on Software Engineering  
System testing of software applications with a graphical-user interface (GUI) front-end requires that sequences of GUI events, that sample the application's input space, be generated and executed as test  ...  Our experiment with 8 open-source software subjects, more than 500,000 test cases running for almost 1100 machine-days, shows that OME* is able to expand the test space on average by 464.11%; it detected  ...  GUI testers routinely miss allowable event sequences, any of which may cause failures once the software is fielded.  ... 
doi:10.1109/tse.2014.2300857 fatcat:bv3z2qt7djcs3lninjteb5jkva

Accounting for defect characteristics in evaluations of testing techniques

Jaymie Strecker, Atif M. Memon
2012 ACM Transactions on Software Engineering and Methodology  
The most common way to evaluate testing techniques is with empirical studies, in which one or more techniques are tried out on software with known defects.  ...  As proof of concept, an experiment on GUI-testing techniques is conducted.  ...  Bao Nguyen helped to create the GUI example of Section 2.1.  ... 
doi:10.1145/2211616.2211620 fatcat:zvyq4infg5hfpabxuzqj6np4m4

Crowdsourcing GUI Tests

Eelco Dolstra, Raynor Vliegendhart, Johan Pouwelse
2013 2013 IEEE Sixth International Conference on Software Testing, Verification and Validation  
usability experiments with large numbers of participants at low cost.  ...  This is made possible by instantiating virtual machines running the system under test and letting testers access the VMs through their web browsers, enabling semi-automated continuous testing of GUIs and  ...  Acknowledgments: We wish to thank Martha Larson for her advice on crowdsourcing and her comments on the design of the A/B test; Niels Zeilemaker for discussions and fixing bugs in Tribler; and of course  ... 
doi:10.1109/icst.2013.44 dblp:conf/icst/DolstraVP13 fatcat:yvqiwlxppvhdjaoortg25wqspa

An Exploratory Study of Field Failures [article]

Luca Gazzola, Leonardo Mariani, Fabrizio Pastore, Mauro Pezz`e
2017 arXiv   pre-print
Field failures, that is, failures caused by faults that escape the testing phase leading to failures in the field, are unavoidable.  ...  Improving verification and validation activities before deployment can identify and timely remove many but not all faults, and users may still experience a number of annoying problems while using their software  ...  reports extracted from the bug repositories of applications in the same domain, to assess the quantitative data reported in this paper, and in different domains, to study the impact of the domains on field failures  ... 
arXiv:1708.09494v1 fatcat:k7jwaacxqzcudlcgsorpxehjja

The Integration of Machine Learning into Automated Test Generation: A Systematic Literature Review [article]

Afonso Fontes, Gregory Gay
2022 arXiv   pre-print
Results: ML generates input for system, GUI, unit, performance, and combinatorial testing or improves the performance of existing generation methods.  ...  Work-to-date shows great promise, but there are open challenges regarding training data, retraining, scalability, evaluation complexity, ML algorithms employed - and how they are applied - benchmarks, and replicability  ...  Introduction Software testing is invaluable in ensuring the reliability of the software that powers our society [1] .  ... 
arXiv:2206.10210v2 fatcat:7aggwwn34zhqtcupomp74jkxru

How Big of a Problem is Analytic Error in Secondary Analyses of Survey Data?

Brady T. West, Joseph W. Sakshaug, Guy Alain S. Aurelien, Lourens J Waldorp
2016 PLoS ONE  
Next, we present several example analyses of real SESTAT data, and demonstrate that a failure to perform these analyses correctly can result in substantially biased estimates with standard errors that  ...  ., replicate weights) are not included in public-use data files and are only available upon request; and 5.  ...  described above with the binary indicators in an exploratory fashion.  ... 
doi:10.1371/journal.pone.0158120 pmid:27355817 pmcid:PMC4927119 fatcat:siyyk6263nbivmw6cp7lnqzpea

Contemporary COBOL: Developers' Perspectives on Defects and Defect Location [article]

Agnieszka Ciborowska, Aleksandar Chakarov, Rahul Pandita
2021 arXiv   pre-print
With this study, we aim to direct the attention of researchers and practitioners towards investigating and addressing challenges associated with mainframe development.  ...  While we made substantial advances in the field of software maintenance for modern programming languages yearly, mainframe maintenance has received limited attention.  ...  We also thank Phase Change Software for supporting this work.  ... 
arXiv:2105.01830v2 fatcat:3g4d2tnfpbhwtmpjft3r4zbjoy

Experimental Tools and Techniques for Wireless Sensor Networks

2019 International journal of recent technology and engineering  
This paper is intended to present a review on experimental tools and techniques available in the literature for WSNs, including simulators, emulators and test beds.  ...  densely deployed in human inaccessible regions and connected through error prone wireless links to offer a long coverage, therefore It is very difficult rather impractical to analyze the behavior of WSNs with  ...  On the other hand, the live testing method is very authentic, but it is rarely applied due to the lack of reproducibility and great expense [44] .  ... 
doi:10.35940/ijrte.c4441.098319 fatcat:ykhoqxur65b2djgnv2awm5is54

Spontaneous first impressions emerge from brief training

Ruth Lee, Jonathan C. Flavell, Steven P. Tipper, Richard Cook, Harriet Over
2021 Scientific Reports  
First, we test whether brief periods of training can establish consistent first impressions de novo.  ...  appearance cues with trustworthiness (Experiments 1 and 2).  ...  First, we demonstrated that participants can quickly learn to associate the visual features of Greebles with trustworthiness and competence.  ... 
doi:10.1038/s41598-021-94670-y pmid:34294809 pmcid:PMC8298428 fatcat:xuoosg37qnewbffjfrlhncvrea
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