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Dissertations / Theses on the topic 'Software regression'

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1

Mostafa, Abdelelah M. "Regression approach to software reliability models." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001648.

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Arafeen, Md Junaid. "Adaptive Regression Testing Strategy: An Empirical Study." Thesis, North Dakota State University, 2012. https://hdl.handle.net/10365/26525.

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When software systems evolve, different amounts of code modifications can be involved in different versions. These factors can affect the costs and benefits of regression testing techniques, and thus, there may be no single regression testing technique that is the most cost-effective technique to use on every version. To date, many regression testing techniques have been proposed, but no research has been done on the problem of helping practitioners systematically choose appropriate techniques on new versions as systems evolve. To address this problem, we propose adaptive regression testing (A
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3

Silveira, Neto Paulo Anselmo da Mota. "A regression testing approach for software product lines architectures." Universidade Federal de Pernambuco, 2010. https://repositorio.ufpe.br/handle/123456789/2346.

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Made available in DSpace on 2014-06-12T15:57:06Z (GMT). No. of bitstreams: 2 arquivo3140_1.pdf: 4172532 bytes, checksum: b7cc6b23a678d29aa1a5c9c9da0617e9 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2010<br>Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco<br>Com o objetivo de produzir produtos individualizados, muitas vezes, as empresas se deparam com a necessidade de altos investimentos, elevando assim os preços de produtos individualizados. A partir dessa necessidade, muitas empresas, começaram a introduzir o co
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4

Richmond, James Howard. "Bayesian Logistic Regression Models for Software Fault Localization." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1326658577.

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5

Mo, Lijia. "Examining the reliability of logistic regression estimation software." Diss., Kansas State University, 2010. http://hdl.handle.net/2097/7059.

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Doctor of Philosophy<br>Department of Agricultural Economics<br>Allen M. Featherstone<br>Bryan W. Schurle<br>The reliability of nine software packages using the maximum likelihood estimator for the logistic regression model were examined using generated benchmark datasets and models. Software packages tested included: SAS (Procs Logistic, Catmod, Genmod, Surveylogistic, Glimmix, and Qlim), Limdep (Logit, Blogit), Stata (Logit, GLM, Binreg), Matlab, Shazam, R, Minitab, Eviews, and SPSS for all available algorithms, none of which have been previously tested. This study expands on the existing
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Duncombe, P. "Statistical software and an example of a regression package." Thesis, University of Kent, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.234478.

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7

Minhas, Nasir Mehmood. "Regression Testing Challenges and Solutions : An Industry-Academia Perspective." Licentiate thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17381.

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Background: Software quality assurance (QA) is an essential activity in the software development lifecycle. Among the different QA activities, regression testing is a challenging task for large-scale software development. Regression testing is a well-researched area, and a large number of techniques have been proposed to fulfill the needs of industry. Despite the extensive research, the adoption of proposed regression testing techniques in the industry is limited. Studies show that there is a visible gap between research and practice. Objective: This work aims at reducing the gap between indus
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Mehta, Alok. "Evolving legacy system's features into fine-grained components using regression test-cases." Link to electronic thesis, 2002. http://www.wpi.edu/Pubs/ETD/Available/etd-1211102-163800.

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Dissertatio (Ph. D.)--Worcester Polytechnic Institute.<br>Keywords: software maintenance; software evolution; regression test-cases; components; legacy system; incremental software evolution methodology; fine-grained components. Includes bibliographical references (p. 283-294).
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9

Alshathry, Omar. "A regression-based model for optimising cost of software quality assurance." Thesis, De Montfort University, 2010. http://hdl.handle.net/2086/4536.

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Kuchimanchi, Sriram. "Towards a regression test selection technique for message-based software integration." ScholarWorks@UNO, 2004. http://louisdl.louislibraries.org/u?/NOD,164.

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Thesis (M.S.)--University of New Orleans, 2004.<br>Title from electronic submission form. "A thesis ... in partial fulfillment of the requirements for the degree of Master of Science in the Department of Computer Science."--Thesis t.p. Vita. Includes bibliographical references.
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11

Azizi, Maral. "Application of Adaptive Techniques in Regression Testing for Modern Software Development." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1538762/.

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In this dissertation we investigate the applicability of different adaptive techniques to improve the effectiveness and efficiency of the regression testing. Initially, we introduce the concept of regression testing. We then perform a literature review of current practices and state-of-the-art regression testing techniques. Finally, we advance the regression testing techniques by performing four empirical studies in which we use different types of information (e.g. user session, source code, code commit, etc.) to investigate the effectiveness of each software metric on fault detection capabili
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12

Zhang, Dongmin. "Open source software maturity model based on linear regression and Bayesian analysis." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1454.

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13

Poliakoff, David. "Integrating Performance Analysis in Parallel Software Engineering." Thesis, University of Oregon, 2015. http://hdl.handle.net/1794/19352.

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Modern computational software is increasingly large in terms of lines of code, number of developers, intended longevity, and complexity of intended architectures. While tools exist to mitigate the problems this type of software causes for the development of functional software, no solutions exist to deal with the problems it causes for performance. This thesis introduces a design called the Software Development Performance Analysis System, or SDPAS. SDPAS observes the performance of software tests as software is developed, tracking builds, tests, and developers in order to provide data with wh
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14

Camara, Louis Richard. "Statistical modeling and assessment of software reliability." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001699.

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15

Zhang, Fu. "Intelligent feature selection for neural regression : techniques and applications." Thesis, University of Warwick, 2012. http://wrap.warwick.ac.uk/49639/.

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Feature Selection (FS) and regression are two important technique categories in Data Mining (DM). In general, DM refers to the analysis of observational datasets to extract useful information and to summarise the data so that it can be more understandable and be used more efficiently in terms of storage and processing. FS is the technique of selecting a subset of features that are relevant to the development of learning models. Regression is the process of modelling and identifying the possible relationships between groups of features (variables). Comparing with the conventional techniques, In
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Rusch, Thomas, and Achim Zeileis. "Discussion on Fifty Years of Classification and Regression Trees." Wiley, 2014. http://dx.doi.org/10.1111/insr.12062.

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In this discussion paper, we argue that the literature on tree algorithms is very fragmented. We identify possible causes and discuss good and bad sides of this situation. Among the latter is the lack of free open-source implementations for many algorithms. We argue that if the community adopts a standard of creating and sharing free open-source implementations for their developed algorithms and creates easy access to these programs the bad sides of the fragmentation will be actively combated and will benefit the whole scientific community. (authors' abstract)
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17

Koppula, Thejendar Reddy. "Regression Testing Goals and Measures : An industrial approach." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17249.

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Context: When a software is modified, regression testing is performed to ensure the behaviour of software is not affected because of those modifications. Due to frequent modifications, the regression testing became challenging. Although there are many regression testing techniques are developed in the research, they are not incorporating in the industry. This is because of the differences in regression testing goals and measures in research and industry. The current context of this study is to identify the regression testing goals and measures in the research and industry perspectives and to f
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18

Farooq, Quratulann Verfasser], and Matthias [Akademischer Betreuer] [Riebisch. "Model-based Regression Testing of Evolving Software Systems / Quratulann Farooq ; Betreuer: Matthias Riebisch." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2017. http://d-nb.info/1132248892/34.

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Farooq, Qurat-Ul-Ann [Verfasser], and Matthias [Akademischer Betreuer] Riebisch. "Model-based Regression Testing of Evolving Software Systems / Quratulann Farooq ; Betreuer: Matthias Riebisch." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2017. http://d-nb.info/1132248892/34.

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20

Gordon, Shelley S. (Shelley Sampson). "Strategic Reorientation in the Computer Software and Furniture Industries: a Hierarchical Regression Analysis." Thesis, University of North Texas, 1995. https://digital.library.unt.edu/ark:/67531/metadc279149/.

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Insufficient literature exists in the area of incremental and revolutionary change to explain and predict the convergence and reorientation phenomena happening in organizations. The process of strategic reorientation involves the internal organizational complexities of fast-paced (within two years) changes in competitive strategy as a necessary condition coupled with changes in at least two of organization structure, power distribution, and control systems. Antecedent forces believed to influence the discontinuous change process include industry sales turbulence, structural inertia/firm size,
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21

Arslan, Recep Sinan Jr. "Design of a Software Application for Visualization of GPS and Vehicle Data." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-4140.

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<p>I present an application to visualization of GPS data and Linear Correlations and models. A collection of data for each vehicle is used to compute correlations. Deviating correlations can be indicative of a faulty vehicle.</p><p> The correlation values for each vehicle are computed with use linear regression algorithms using up to 4 signals in the data (with varied time window), and display the model parameters in a window next to the GPS map. Multiple measurements (multiple drive routes and multiple model parameters) are displayed at the same time, allowing tracking over time and compar
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22

Dharmapurikar, Abhishek V. "Impact-Driven Regression Test Selection for Mainframe Business Systems." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366294612.

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23

Santelices, Raul A. "Change-effects analysis for effective testing and validation of evolving software." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44737.

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The constant modification of software during its life cycle poses many challenges for developers and testers because changes might not behave as expected or may introduce erroneous side effects. For those reasons, it is of critical importance to analyze, test, and validate software every time it changes. The most common method for validating modified software is regression testing, which identifies differences in the behavior of software caused by changes and determines the correctness of those differences. Most research to this date has focused on the efficiency of regression testing by sele
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24

Stevenson, Clint Wesley. "A logistic regression analysis of utah colleges exit poll response rates using SAS software /." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1578.pdf.

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Stevenson, Clint W. "A Logistic Regression Analysis of Utah Colleges Exit Poll Response Rates Using SAS Software." BYU ScholarsArchive, 2006. https://scholarsarchive.byu.edu/etd/1116.

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In this study I examine voter response at an interview level using a dataset of 7562 voter contacts (including responses and nonresponses) in the 2004 Utah Colleges Exit Poll. In 2004, 4908 of the 7562 voters approached responded to the exit poll for an overall response rate of 65 percent. Logistic regression is used to estimate factors that contribute to a success or failure of each interview attempt. This logistic regression model uses interviewer characteristics, voter characteristics (both respondents and nonrespondents), and exogenous factors as independent variables. Voter characteristic
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26

Park, Minjeong. "Investigating differential options functioning based on multinomial logistic regression with widely used statistical software." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/62712.

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This thesis focuses on an investigation of differential functioning in all options of multiple-choice items, referred to as differential options functioning (DOF). That is, DOF investigates whether respondents from different groups (i.e., subpopulations), with equal levels of attribute being measured, would have different probabilities to select the options. In previous research, DOF has been typically conducted as a secondary analysis for DIF of items in achievement/aptitude tests. This thesis introduces how DOF can provide fruitful information in various psychological and educational measure
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Jiang, Bo, and 姜博. "Effective and efficient regression testing and fault localization through diversification, prioritization, and randomization." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46541214.

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28

Utami, Zuliana Sri. "Penalized regression methods with application to generalized linear models, generalized additive models, and smoothing." Thesis, University of Essex, 2017. http://repository.essex.ac.uk/20908/.

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Recently, penalized regression has been used for dealing problems which found in maximum likelihood estimation such as correlated parameters and a large number of predictors. The main issues in this regression is how to select the optimal model. In this thesis, Schall’s algorithm is proposed as an automatic selection of weight of penalty. The algorithm has two steps. First, the coefficient estimates are obtained with an arbitrary penalty weight. Second, an estimate of penalty weight λ can be calculated by the ratio of the variance of error and the variance of coefficient. The iteration is cont
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Sandoval, Alcocer Juan. "Horizontal profiling: A sampling technique to identify performance regressions." Tesis, Universidad de Chile, 2016. http://repositorio.uchile.cl/handle/2250/143666.

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Doctor en Ciencias, Mención Computación<br>Los cambios continuos en el código fuente de un programa pueden inadvertidamente introducir una regresión de rendimiento en tiempo de ejecución. Dichas regresiones se refieren a situaciones donde el rendimiento de un programa se degrada en comparación de versiones anteriores del mismo, aunque la nueva versión funcione correctamente. Ejecutar puntos de referencia en cada versión de un programa es una técnica tradicional utilizada para identificar regresiones en etapas tempranas. A pesar de ser efectiva, esta técnica exhaustiva es difícil de ll
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Ben, Hajla Halim. "Traceability in object-oriented quality engineering, a basis for regression analysis of object-oriented software." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0002/MQ36800.pdf.

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OLIVEIRA, NETO Francisco Gomes de. "Investigation of similarity-based test case selection for specification-based regression testing." Universidade Federal de Campina Grande, 2014. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/360.

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Submitted by Johnny Rodrigues (johnnyrodrigues@ufcg.edu.br) on 2018-04-10T20:00:05Z No. of bitstreams: 1 FRANCISCO GOMES DE OLIVEIRA NETO - TESE PPGCC 2014..pdf: 5163454 bytes, checksum: 228c1fc4f2dc9aad01698011238cfde1 (MD5)<br>Made available in DSpace on 2018-04-10T20:00:05Z (GMT). No. of bitstreams: 1 FRANCISCO GOMES DE OLIVEIRA NETO - TESE PPGCC 2014..pdf: 5163454 bytes, checksum: 228c1fc4f2dc9aad01698011238cfde1 (MD5) Previous issue date: 2014-07-30<br>uring software maintenance, several modifications can be performed in a specification model in order to satisfy new requirements. Pe
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Lied, Thorbjørn Tønnesen. "Multivariate Image Regression (MIR) for Quantitative Predictions. Prototype Software Implementation and Selected Industrial-Technological Pilot Studies." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Natural Sciences and Technology, 2001. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-469.

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<p>In large and important sectors of modern production, there is an increased demand for on-line or at-line information. Both consumers and governmental regulations require that producers can document the quality of their products. The more precise measurements can be, the more potentially valuable they are for the producers in their endeavours to fulfil these demands. </p>
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Hyberg, Martin. "Software Issue Time Estimation With Natural Language Processing and Machine Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-295202.

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Time estimation for software issues is crucial to planning projects. Developers and experts have for many decades tried to estimate time requirements for issues as accurately as possible. The methods that are used today are often time-consuming and complex. This thesis investigates if the time estimation process can be done with natural language processing and machine learning. Three different word embeddings were used to represent the free text description, bag-of-words with tf-idf weighing, word2Vec and fastText. The different word embeddings were then fed into two types of machine learning
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Čecháková, Lucie. "Automatizace regresního testování." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-203822.

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This study is primarily focused on software testing, especially on regression tests and their automation. The main objective is to introduce and verify a novel procedure for implementation and automation of software regression testing. Specific objectives include putting regression testing into the context of other types of tests applied to software testing, introduction of a novel Methodology for analysis of automation of regression tests, introduction of a novel Methodology for analysis of implementation of regression tests, practical verification of the applicability of both methodologies o
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Nyussupov, Adlet. "Using Autonomous Agents for Software Testing Based on JADE." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-45319.

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The thesis work describes the development of a multiagent testing application (MTA) based on an agent approach for solving challenges in regression testing domain, such as: reducing the complexity of testing, optimizing the time consumption, increasing the efficiency and implementing the automation of this approach for regression testing. All these challenges related to effectiveness and cost, can be represented as measures of achieved code coverage and number of test cases created. A multiagent approach is proposed in this thesis since it allows the implementation of the autonomous behaviour
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Husa, Jakub. "Genetické vylepšení software pro kartézské genetické programování." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255458.

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Genetic programming is a nature-inspired method of programming that allows an automated creation and adaptation of programs. For nearly two decades, this method has been able to provide human-comparable results across many fields. This work gives an introduction to the problems of evolutionary algorithms, genetic programming and the way they can be used to improve already existing software. This work then proposes a program able to use these methods to improve an implementation of cartesian genetic programming (CGP). This program is then tested on a CGP implementation created specifically for
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Kamal, Ahmad Waqas. "A Hierarchical Approach to Software Testing." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4889.

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To produce high quality software both software developers and testers need continuous improvement in their work methodologies and processes. So, far much work has been done in the effective ways of eliciting and documenting the requirements. However important aspect is to make sure that whatever is documented in specifications actually works correctly in the developed software. Software testing is done to ensure this phenomenon. Aim of this thesis is to develop a software test case work flow strategy that helps in identification and selection of suitable test paths that can be used as an input
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Kynn, Mary. "Eliciting Expert Knowledge for Bayesian Logistic Regression in Species Habitat Modelling." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16041/.

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This research aims to develop a process for eliciting expert knowledge and incorporating this knowledge as prior distributions for a Bayesian logistic regression model. This work was motivated by the need for less data reliant methods of modelling species habitat distributions. A comprehensive review of the research from both cognitive psychology and the statistical literature provided specific recommendations for the creation of an elicitation scheme. These were incorporated into the design of a Bayesian logistic regression model and accompanying elicitation scheme. This model and scheme
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Wågberg, Max. "Att förutspå Sveriges bistånd : En jämförelse mellan Support Vector Regression och ARIMA." Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-36479.

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In recent years, the use of machine learning has increased significantly. Its uses range from making the everyday life easier with voice-guided smart devices to image recognition, or predicting the stock market. Predicting economic values has long been possible by using methods other than machine learning, such as statistical algorithms. These algorithms and machine learning models use time series, which is a set of data points observed constantly over a given time interval, in order to predict data points beyond the original time series. But which of these methods gives the best results? The
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Bogren, Patrik, and Isak Kristola. "Exploring the use of call stack depth limits to reduce regression testing costs." Thesis, Mittuniversitetet, Institutionen för data- och systemvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-43166.

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Regression testing is performed after existing source code has been modified to verify that no new faults have been introduced by the changes. Test case selection can be used to reduce the effort of regression testing by selecting a smaller subset of the test suite for later execution. Several criteria and objectives can be used as constraints that should be satisfied by the selection process. One common criteria is function coverage, which can be represented by a coverage matrix that maps test cases to methods under test. The process of generating and evaluating these matrices can be very tim
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Jayachandran, Naveen. "Understanding roi metrics for software test automation." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001241.

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Dulal, Nabin Raj, and Sabindra Maharjan. "A Comparative Study of Component Based Regression Testing Approaches without Source Code." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4357.

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Context: Today, most of the software products are built with COTS components. When a new version of these components is available, it is difficult to perform testing as the vendors of the component do not usually provide source code. Various regression testing techniques have been developed, but most of the techniques are based on the source code for change identification. So, the testers are facing different challenges in performing effective testing. Objectives: The goal of this research is to find out the different approaches that are used to identify changes in modified COTS component, ana
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Pernikář, Aleš. "Automatická kontrola kvality software na embedded zařízení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400645.

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This thesis concerns automation of software and hardware testing using the robotic testing system called RQA. It aims to design an interface to produce test scenarios using the robotic testing system. Next it elaborates metrics measured during testing used for quality assurance of the system uder test. One of the topics covered is a visualization of test data and measurements for an easy overview of quality.
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Löjdquist, Axel. "Net benefit analysis of Visual Regression Testing in a Continuous integration environment: An industrial Case study." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166347.

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Maintaining quality in software is a difficult task for several reasons, such as, company growth, time-to-market demands, code complexity and more. GUI testing tools and Continuous Integration (CI) are common practice today to tackle some of the issues with maintaining software quality. However, these techniques bring a set of challenges. Visual Regression Testing (VRT) is a special kind of GUI testing technique focused upon image-based assertions. This study presents an implementation and investigation of the benefits and drawbacks of introducing VRT for a CI environment in an industrial cont
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Kopečná, Barbora. "Hodnocení výkonnosti podniku s využitím software Maple." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2020. http://www.nusl.cz/ntk/nusl-417355.

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The diploma thesis focuses on the evaluation of the performance of a selected company operating in the food industry in the period 2013-2018. The thesis uses PEST analysis, regression analysis and time series analysis in Maple software and benchmarking. Using these tools and the results of analyses, proposals are made to improve the company's performance and also future potential development of the company is descripted.
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Drincic, Samir, and Asim Dedic. "Evolving test-case selection at a large scale company." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1364.

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This paper presents a possible solution for selection of test-cases that should be executed to provide good coverage and quality at UIQ Technologies. It describes how the company can sort and prioritize their test-cases, so that quality is maintained while having controlled amount of test-cases. The idea behind the proposed method is to prioritize the test-cases and execute those that received highest prioritization first and thereby ensuring that all high-risk defects are found first. We have created a model that performs those tasks and we have also executed it on an ongoing project at UIQ T
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Agarwal, Deepam. "A comparative study of artificial neural networks and info fuzzy networks on their use in software testing." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000445.

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48

Parlakol, Nazif Bulent. "A Test Oriented Service And Object Model For Software Product Lines." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12611769/index.pdf.

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Abstract:
In this thesis, a new modeling technique is proposed for minimizing regression testing effort in software product lines. The &ldquo<br>Product Flow Model&rdquo<br>is used for the common representation of products in application engineering and the &ldquo<br>Domain Service and Object Model&rdquo<br>represents the variant based relations between products and core assets. This new approach provides a solution for avoiding unnecessary work load of regression testing using the principles of sub-service decomposition and variant based product/sub-service traceability matrices. The proposed model is
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49

Suuronen, Janne. "Towards Defining Models of Hardware Capacity and Software Performance for Telecommunication Applications." Thesis, Mälardalens högskola, Inbyggda system, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-48773.

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Knowledge of the resource usage of applications and the resource usage capacity of hardware platforms is essential when developing a system. The resource usage must not over exceed the capacity of a platform, as it could otherwise fail to meet its real-time constraints due to resource shortages. Furthermore, it is beneficial from a cost-effectiveness stand-point that a hardware platform is not under-utilised by systems software. This thesis examines two systems aspects: the hardware resource usage of applications and the resource capacity of hardware platforms, defined as the capacity of each
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50

Phadke, Amit Ashok. "Predicting open-source software quality using statistical and machine learning techniques." Master's thesis, Mississippi State : Mississippi State University, 2004. http://library.msstate.edu/etd/show.asp?etd=etd-11092004-105801.

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