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Regression mutation testing

Lingming Zhang, Darko Marinov, Lu Zhang, Sarfraz Khurshid
2012 Proceedings of the 2012 International Symposium on Software Testing and Analysis - ISSTA 2012  
This paper presents Regression Mutation Testing (ReMT), a new technique to speed up mutation testing for evolving systems.  ...  Mutation testing is one of the most powerful approaches for evaluating quality of test suites. However, mutation testing is also one of the most expensive testing approaches.  ...  ACKNOWLEDGEMENTS The authors would like to thank Milos Gligoric and Vilas Jagannath for the initial discussions on regression mutation testing, David Schuler for providing information about Javalanche,  ... 
doi:10.1145/2338965.2336793 dblp:conf/issta/ZhangMZK12 fatcat:nzqwplexebhm7pvympngjyqovi

Applying Interface-Contract Mutation in Regression Testing of Component-Based Software

Shan-Shan Hou, Lu Zhang, Tao Xie, Hong Mei, Jia-Su Sun
2007 Conference on Software Maintenance, Proceedings of the  
Regression testing, which plays an important role in software maintenance, usually relies on test adequacy criteria to select and prioritize test cases.  ...  The mutation adequacy score for killing the mutants of interface contracts can serve as a test adequacy criterion.  ...  Introduction In software maintenance, regression testing is frequently applied to ensure software quality.  ... 
doi:10.1109/icsm.2007.4362630 dblp:conf/icsm/HouZXMS07 fatcat:3ngamozpi5cwdljj6cl7hye3bq

Longevity Is Linked to Mitochondrial Mutation Rates in Rockfish: A Test Using Poisson Regression

Xia Hua, Peter Cowman, Dan Warren, Lindell Bromham
2015 Molecular biology and evolution  
We address these challenges using a novel Poisson regression method to examine the link between mutation rate and lifespan in rockfish (Sebastes).  ...  Numerous studies have applied comparative approaches to test one of the predictions of the theory: That the rate of mitochondrial mutations is negatively correlated with longevity.  ...  FIG. 3 . 3 The statistical power of our Poisson regression method and least-squares regression after Welch and Waxman (2008) test.  ... 
doi:10.1093/molbev/msv137 pmid:26048547 fatcat:bkp5sfgp5vbyzeavsusexyu6mi

Evaluation of Complete Pathological Regression after Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer Patients with BRCA1 Founder Mutation Aided Bayesian A/B Testing Approach

Piotr Kedzierawski, Pawel Macek, Izabela Ciepiela, Artur Kowalik, Stanislaw Gozdz
2021 Diagnostics  
The aim of this study was to evaluate the probability of pathologic complete regression (pCR) by the BRCA1 gene mutation status in patients with triple-negative breast cancer (TNBC) treated with neoadjuvant  ...  Odds ratios and 95% confidence intervals for pCR vs. non-pCR were calculated using logistic regression.  ...  Statistical differences, depending on the mutation status of the BRCA1 gene, were estimated using a t-test (equal variance), Welch test (unequal variance), or the chi-square test (categorical variables  ... 
doi:10.3390/diagnostics11071144 fatcat:r6fctjnjwferzoxiqvtelwmvrq

THE IMPACT OF MUTATION AND PROMOTION ON THE PERFORMANCE OF SOUTH KALIMANTAN GOVERNMENT'S EMPLOYEES

Muhammadberty nakir
2017 International Journal of Advanced Research  
According to t test for mutation (variable X1), it is discovered that this variable has significancy value less than t table value (2,0195), which is (-0,328< t table) and can be concluded that mutation  ...  Variables which related to the study were mutation (X1), promotion (X2), and the employees' performance (Y).  ...  Regression model used to test the hypothesis is as follow: Y = α + β 1 X 1 + β 2 X 2 + e ………………...………..… (1) Y = Performance α = constanta 1871 β 1 & β 2 = regression coefisient X1 = mutation  ... 
doi:10.21474/ijar01/6157 fatcat:tedz2agd3nfb3fnw6rs5elefw4

HIV-1 Protease Mutations and Protease Inhibitor Cross-Resistance

S.-Y. Rhee, J. Taylor, W. J. Fessel, D. Kaufman, W. Towner, P. Troia, P. Ruane, J. Hellinger, V. Shirvani, A. Zolopa, R. W. Shafer
2010 Antimicrobial Agents and Chemotherapy  
We then used least-squares regression to ascertain the relative contribution of each of these 46 mutations.  ...  We applied least-angle regression (LARS) to the 200 most common mutations in the data set and identified a set of 46 mutations associated with decreased PI susceptibility of which 40 were not polymorphic  ...  For each 5-fold cross-validation, 80% of data were used for learning regression coefficients and 20% were used for testing.  ... 
doi:10.1128/aac.00574-10 pmid:20660676 pmcid:PMC2944562 fatcat:6pqjvnh3vzhxrkhgkf7nlm73ru

BRCA germline mutation test for all woman with ovarian cancer?

A. V. Paradiso, M. Digennaro, M. Patruno, S. De Summa, S. Tommasi, I. Berindan-Neagoe
2019 BMC Cancer  
Conclusions: Our regression tree-analysis can represent an innovative approach taking into consideration all main clinical pathological information to select OC patients to be candidated for BRCA test.  ...  Regression tree analysis permitted to individualize a subset of 66% OC patients with particularly low risk (3.5%) to carry a BRCA mutation vs a subgroup (24% of the series), with a probability higher than  ...  of 46% of patients, included in Nodes 3 and 5 of the Regression- (Fig. 1) showed a < 3.8% probability only to carry a BRCA mutation.  ... 
doi:10.1186/s12885-019-5829-4 fatcat:fcroxhyorbhjzmfg7lg4uiwhte

Structure Based Thermostability Prediction Models for Protein Single Point Mutations with Machine Learning Tools

Lei Jia, Ramya Yarlagadda, Charles C. Reed, Yang Zhang
2015 PLoS ONE  
Binary and ternary classifications as well as regression models were built and evaluated.  ...  Thermostability issue of protein point mutations is a common occurrence in protein engineering.  ...  In this case, the test AUC values of most models in the reverse mutations test were lower than those in the forward mutations test.  ... 
doi:10.1371/journal.pone.0138022 pmid:26361227 pmcid:PMC4567301 fatcat:kzxx2ofluff7hppnutw3b422ay

Genotypic predictors of human immunodeficiency virus type 1 drug resistance

S.-Y. Rhee, J. Taylor, G. Wadhera, A. Ben-Hur, D. L. Brutlag, R. W. Shafer
2006 Proceedings of the National Academy of Sciences of the United States of America  
, or highly resistant to the drugs used for testing.  ...  Least angle regression predicted susceptibility significantly better than other methods when using the complete set of mutations.  ...  , nonnucleoside RT inhibitor; SVR, support vector regression; TDF, tenofovir; TSM, treatment-selected mutation.  ... 
doi:10.1073/pnas.0607274103 pmid:17065321 pmcid:PMC1622926 fatcat:qcqnkuqtvfbdrmjvpjrq3pegxy

Utility of ctDNA in predicting response to neoadjuvant chemoradiotherapy and prognosis assessment in locally advanced rectal cancer: A prospective cohort study

Yaqi Wang, Lifeng Yang, Hua Bao, Xiaojun Fan, Fan Xia, Juefeng Wan, Lijun Shen, Yun Guan, Hairong Bao, Xue Wu, Yang Xu, Yang Shao (+8 others)
2021 PLoS Medicine  
., features of baseline ctDNA, ctDNA clearance, and acquired mutation status) and MRI tumor regression grade (mrTRG), was developed and demonstrated improved performance in predicting pCR/non-pCR (area  ...  Ranging from complete tumor regression (pathological tumor regression grade 0; pTRG0) to poor regression (pTRG3), the ctDNA clearance rate during nCRT showed a significant decreasing trend (95.7%, 77.8%  ...  Fisher exact test was used for significance test.  ... 
doi:10.1371/journal.pmed.1003741 pmid:34464382 pmcid:PMC8407540 fatcat:q4hmmgxezvhpvljas7daa6m7uy

Non-nucleoside reverse transcriptase inhibitor (NNRTI) cross-resistance: implications for preclinical evaluation of novel NNRTIs and clinical genotypic resistance testing

George L. Melikian, Soo-Yon Rhee, Vici Varghese, Danielle Porter, Kirsten White, Jonathan Taylor, William Towner, Paolo Troia, Jeffrey Burack, Edwin DeJesus, Gregory K. Robbins, Kristin Razzeca (+5 others)
2013 Journal of Antimicrobial Chemotherapy  
NNRTI-resistance mutations and for testing older NNRTIs against virus isolates with mutations identified during the evaluation of a novel NNRTI.  ...  We used linear regression to estimate the effects of RTmutations on susceptibility to each of these NNRTIs.  ...  Our analysis also underscores the need for systematically testing new NNRTIs against clinical virus isolates containing a broad spectrum of major non-polymorphic NNRTIresistance mutations and of testing  ... 
doi:10.1093/jac/dkt316 pmid:23934770 pmcid:PMC3861329 fatcat:nm5knwzcgfgwllbal3r5njdm3a

Investigation of the epidermal growth factor receptor mutation rate in non-small cell lung cancer patients and the analysis of associated risk factors using logistic regression

QINSHI PAN, YUMIN WANG, JIE CHEN, GANG XU, BICHENG CHEN, JINGYE PAN, KATE HUANG
2014 Oncology Letters  
The logistic regression analysis revealed that the female gender, adenocarcinoma, distant metastasis and chemotherapy are factors associated with EGFR gene mutation (P<0.05).  ...  Investigation of the epidermal growth factor receptor mutation rate in non-small cell lung cancer patients and the analysis of associated risk factors using logistic regression  ...  T-test/Mann-Whitney U test results for EGFR mutation and EGFR non-mutation in NSCLC patients. (Tables IV and V) .  ... 
doi:10.3892/ol.2014.2160 pmid:25013503 pmcid:PMC4081401 fatcat:fk7agz6l4rc7hja2weoynhlauu

Correlation of IDH1 Mutation with Clinicopathologic Factors and Prognosis in Primary Glioblastoma: A Report of 118 Patients from China

Wei Yan, Wei Zhang, Gan You, Zhaoshi Bao, Yongzhi Wang, Yanwei Liu, Chunsheng Kang, Yongping You, Lei Wang, Tao Jiang, Brock C. Christensen
2012 PLoS ONE  
However, in our further multivariable regression analysis, the independent prognostic effect of IDH1 mutation is limited when considering age, preoperative KPS score, extent of resection, TMZ chemotherapy  ...  IDH1 mutations were detected in 19/ 118 pGBM cases (16.1%).  ...  Correlation of IDH1 mutation with clinicopathologic characteristics were evaluated by two-sided x2 test or Student's t-test between the patient subgroups.  ... 
doi:10.1371/journal.pone.0030339 pmid:22291938 pmcid:PMC3264567 fatcat:wz5lufvlkverjanepftawntfga

Prediction of PIK3CA mutations from cancer gene expression data

Jun Kang, Ahwon Lee, Youn Soo Lee, Nandini Dey
2020 PLoS ONE  
We applied a supervised elastic net penalized logistic regression model to predict PIK3CA mutations from gene expression data.  ...  This regression approach was applied to predict modeling using the TCGA pan-cancer dataset. Approximately 10,000 cases were available for PIK3CA mutation and mRNA expression data.  ...  We applied a supervised elastic net penalized logistic regression model to predict PIK3CA mutations.  ... 
doi:10.1371/journal.pone.0241514 pmid:33166334 fatcat:col5v266h5gvbiyygfvvhvquiq

Faster mutation testing inspired by test prioritization and reduction

Lingming Zhang, Darko Marinov, Sarfraz Khurshid
2013 Proceedings of the 2013 International Symposium on Software Testing and Analysis - ISSTA 2013  
Mutation testing is a well-known but costly approach for determining test adequacy.  ...  The effectiveness of mutation testing in determining the quality of a test suite relies on the ability to apply it using a large number of mutants.  ...  The basic intuitions for regression prioritization and FaMT prioritization are similar: to reorder the tests to make regression/mutation testing faster.  ... 
doi:10.1145/2483760.2483782 dblp:conf/issta/ZhangMK13 fatcat:hla4whbcqjh6ljd2lrark4x45u
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