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Early estimation of defect density using an in-process Haskell metrics model

Mark Sherriff, Nachiappan Nagappan, Laurie Williams, Mladen Vouk
2005 Software engineering notes  
Early estimation of defect density of a product is an important step towards the remediation of the problem associated with affordably guiding corrective actions in the software development process.  ...  This paper presents a suite of in-process metrics that leverages the software testing effort to create a defect density prediction model for use throughout the software development process.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.  ... 
doi:10.1145/1082983.1083285 fatcat:dzaegwfrlfdb7kywtk377hf7em

Early estimation of defect density using an in-process Haskell metrics model

Mark Sherriff, Nachiappan Nagappan, Laurie Williams, Mladen Vouk
2005 Proceedings of the first international workshop on Advances in model-based testing - A-MOST '05  
Early estimation of defect density of a product is an important step towards the remediation of the problem associated with affordably guiding corrective actions in the software development process.  ...  This paper presents a suite of in-process metrics that leverages the software testing effort to create a defect density prediction model for use throughout the software development process.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.  ... 
doi:10.1145/1083274.1083285 dblp:conf/amost/SherriffNWV05 fatcat:3sztkjxr4ffyngzg5hs7kozyky

Utilizing verification and validation certificates to estimate software defect density

Mark Sherriff
2005 Software engineering notes  
An important step towards remediation of the problem associated with this late information lies in the ability to provide an early estimation of defect density.  ...  Our research objective is to build a parametric model which utilizes a persistent record of the validation and verification (V&V) practices used with a program to estimate the defect density of that program  ...  These findings also showed that in-process metrics can be used as an early indicator of software defect density for Haskell programs.  ... 
doi:10.1145/1095430.1081768 fatcat:2cv4mqhmizfg3a7sxfsmu7ypdq

Utilizing verification and validation certificates to estimate software defect density

Mark Sherriff
2005 Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering - ESEC/FSE-13  
An important step towards remediation of the problem associated with this late information lies in the ability to provide an early estimation of defect density.  ...  Our research objective is to build a parametric model which utilizes a persistent record of the validation and verification (V&V) practices used with a program to estimate the defect density of that program  ...  These findings also showed that in-process metrics can be used as an early indicator of software defect density for Haskell programs.  ... 
doi:10.1145/1081706.1081768 dblp:conf/sigsoft/Sherriff05 fatcat:yunrmmtwsrbojovgmvi2y3qwmy

DevCOP: A Software Certificate Management System for Eclipse

Mark Sherriff, Laurie Williams
2006 Proceedings - International Symposium on Software Reliability Engineering  
In our future work, we are researching a parametric model which utilizes these certificates to estimate defect density as development proceeds.  ...  However, these efforts might not be recorded or maintained in an effective manner.  ...  Mark Jones at Portland State University and rest of the Programatica team for their input on the various parts of this work. This work was funded by the National Science Foundation. References  ... 
doi:10.1109/issre.2006.22 dblp:conf/issre/SherriffW06 fatcat:cm5mk6bhwreablwrt2ugwlftca

Advances in model-based software testing (A-MOST)

Siddhartha R. Dalal, Ashish Jain, Jesse Poore
2005 Software engineering notes  
Introduction This is a summary of the Advances in Model-Based Software Testing (A-MOST) workshop held on May 15-16, 2005, in St. Louis, Missouri. The workshop had approximately 40 participants.  ...  the complex problems yet to be solved in model-based testing.  ...  Session 4: Measurements Mark Sherriff discussed a research program centered on constructing and validating a set of process metrics useful for predicting external system defect density.  ... 
doi:10.1145/1095430.1095436 fatcat:xoje357xpngi3hkfbpj5nknm64

Perceptions, Expectations, and Challenges in Defect Prediction

Zhiyuan Wan, Xin Xia, Ahmed E. Hassan, David Lo, Jianwei Yin, Xiaohu Yang
2018 IEEE Transactions on Software Engineering  
Defect prediction has been an active research area for over four decades. Despite numerous studies on defect prediction, the potential value of defect prediction in practice remains unclear.  ...  evidence regarding defect density distribution and the relationship between file size and defectiveness. 3) 7.2% of the respondents reveal an inconsistency between their behavior and perception regarding  ...  Defect Prediction Metrics Metrics in defect prediction research are used as independent variables of defect prediction models.  ... 
doi:10.1109/tse.2018.2877678 fatcat:da5ehjqssjbjpn2jkktfi334za

A Comparative Study of Programming Languages in Rosetta Code

Sebastian Nanz, Carlo A. Furia
2015 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering  
In this study, we use the largely untapped research potential of Rosetta Code, a code repository of solutions to common programming tasks in various languages, to draw a fair and well-founded comparison  ...  : F# and Haskell; scripting: Python and Ruby).  ...  Comments by Donald "Paddy" McCarthy helped us fix a problem with one of the analysis scripts for Python.  ... 
doi:10.1109/icse.2015.90 dblp:conf/icse/NanzF15 fatcat:e7obaf6c3vhcpbt3ugyc2drr2q

Maximizing the benefits and minimizing the risks of intervention programs to address micronutrient malnutrition: symposium report

Maaike J Bruins, Roland Kupka, Michael B Zimmermann, Georg Lietz, Reina Engle-Stone, Klaus Kraemer
2016 Maternal and Child Nutrition  
Pre-implementation assessment of dietary intake, and/or biomarkers of micronutrient exposure, status and morbidity/mortality is critical in identifying the population segments at risk of inadequate and  ...  Dietary intake models allow to predict the effect of micronutrient interventions and their combinations, e.g. fortified food and supplements, on the proportion of the population with intakes below adequate  ...  Contributor statement The authors declare that they have all participated in drafting of the manuscript, and that they have approved the final version.  ... 
doi:10.1111/mcn.12334 pmid:27501994 pmcid:PMC5095875 fatcat:tsjlartwnzcgjlngckso4lf3d4

A brief history of A-MOST Special Issue containing selected papers from A-MOST 2008

Lars Frantzen, Mercedes G. Merayo, Manuel Núñez
2009 The Journal of Logic and Algebraic Programming  
In addition to an executive summary of these three papers, this preface briefly reviews the papers published in the four editions of the A-MOST workshop.  ...  This special issue contains the revised and extended versions of three papers presented in the 4th Workshop on Advances in Model-Based Testing (A-MOST 2008).  ...  [45] discussed a research program centered on constructing and validating a set of process metrics useful for predicting external system defect density.  ... 
doi:10.1016/j.jlap.2009.02.010 fatcat:o4gguzoctfhu7grrhtofsb73da

Quality Evaluation of Modern Code Reviews Through Intelligent Biometric Program Comprehension

Haytham Hijazi, Joao Duraes, Ricardo Couceiro, Joao Castelhano, Raul Barbosa, Julio Medeiros, Miguel Castelo-Branco, Paulo De Carvalho, Henrique Madeira
2022 IEEE Transactions on Software Engineering  
Code review is an essential practice in software engineering to spot code defects in the early stages of software development.  ...  The proposed approach utilizes biometric information collected from the reviewer during the review process using non-intrusive biofeedback devices (e.g., smartwatches).  ...  For more information, see https://creativecommons.org/licenses/by/4.0/ This article has been accepted for publication in a future issue of this journal, but has not been fully edited.  ... 
doi:10.1109/tse.2022.3158543 fatcat:llxq3zee6bh3fnckil6f4wafly

A Survey of Machine Learning for Big Code and Naturalness [article]

Miltiadis Allamanis, Earl T. Barr, Premkumar Devanbu, Charles Sutton
2018 arXiv   pre-print
We present a taxonomy based on the underlying design principles of each model and use it to navigate the literature.  ...  Research at the intersection of machine learning, programming languages, and software engineering has recently taken important steps in proposing learnable probabilistic models of source code that exploit  ...  However, some metrics that are widely used in NLP are not suited for source code.  ... 
arXiv:1709.06182v2 fatcat:hbvgyonqsjgq3nqwji6jf3aybe

A Survey of Machine Learning for Big Code and Naturalness

Miltiadis Allamanis, Earl T. Barr, Premkumar Devanbu, Charles Sutton
2018 ACM Computing Surveys  
We present a taxonomy based on the underlying design principles of each model and use it to navigate the literature.  ...  Research at the intersection of machine learning, programming languages, and software engineering has recently taken important steps in proposing learnable probabilistic models of source code that exploit  ...  Similarly, we believe that such architectures will be useful within probabilistic models of source code. An early example is the work of Allamanis et al.  ... 
doi:10.1145/3212695 fatcat:iuuocyctg5adjmobhc2zw23rfu

Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association

Emelia J. Benjamin, Michael J. Blaha, Stephanie E. Chiuve, Mary Cushman, Sandeep R. Das, Rajat Deo, Sarah D. de Ferranti, James Floyd, Myriam Fornage, Cathleen Gillespie, Carmen R. Isasi, Monik C. Jiménez (+33 others)
2017 Circulation  
We wish to thank our colleagues: Lucy Hsu and Michael Wolz, National Heart, Lung, and Blood Institute; Sheila Franco, National Center for Health Statistics; Lorena Egan, AHA; and the dedicated staff of  ...  low energy density and increase obesity. 67 National changes in energy density over time are not consistently linked to changes in energy intake. 38 • In analyses of >120 000 US males and females in  ...  of smoking. 7 • From 2005 to 2009, smoking during pregnancy resulted in an estimated 970 infant deaths annually. 7 • Each year from 2005 to 2009, an estimated 41 000 US deaths were attributable to  ... 
doi:10.1161/cir.0000000000000485 pmid:28122885 pmcid:PMC5408160 fatcat:gxliun4rifb4znwew46td6vpka

Visual specification of measurements and redesigns for domain specific visual languages

Esther Guerra, Juan de Lara, Paloma Díaz
2008 Journal of Visual Languages and Computing  
As an example, we show a case study in the web modelling domain. r  ...  Ensuring model quality is a key success factor in many computer science areas, and becomes crucial in recent software engineering paradigms like the one proposed by model-driven software development.  ...  Acknowledgements Work supported by projects MODUWEB (TIN2006-09678) and MOSAIC (TIC2005-08225-C07-06) of the Spanish Ministry of Science and Education.  ... 
doi:10.1016/j.jvlc.2007.09.002 fatcat:5it4qzkpmbdndfgq2hry5nsosa
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