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Towards fixing inconsistencies in models with variability

Roberto E. Lopez-Herrejon, Alexander Egyed
2012 Proceedings of the Sixth International Workshop on Variability Modeling of Software-Intensive Systems - VaMoS '12  
In this research-in-progress paper, we explore one of the issues that variability raises for inconsistency fixing. Namely, in which features to locate the fixes.  ...  However, when coupled with variability, the research focus has been devoted to inconsistency detection, while leaving the important issue of fixing the inconsistency largely unaddressed.  ...  We thank Alexander Nöhrer for his help with PicoSAT solver, Pablo Trinidad and David Benavides for their support with the FAMA tool suite.  ... 
doi:10.1145/2110147.2110158 dblp:conf/vamos/Lopez-HerrejonE12 fatcat:l4nf6jgwnze3npgmlgfmlaz2wy

Page 459 of Political Studies Vol. 58, Issue 3 [page]

2010 Political Studies  
Three of the four models in Table 1 show that crime victimization is associated with attitudes toward democracy.  ...  In all models estimated (logit, ordered logit, fixed effects logit and ordered logit, and condi- tional logit models) the variable measuring a respondent’s perception of safety is positively and significantly  ... 

A multivariate meta-analysis of motivational interviewing process and outcome

Brian T. Pace, Aaron Dembe, Christina S. Soma, Scott A. Baldwin, David C. Atkins, Zac E. Imel
2017 Psychology of Addictive Behaviors  
In the present study, we used a series of multivariate meta-analyses to test whether there are differential relationships between specific MI-consistent and MI-inconsistent therapist behaviors, MI therapist  ...  Variability within the correlations indicated that some individual MI therapist behaviors were differentially related to therapist global ratings of empathy and MI spirit.  ...  The first series of models (Models 1a-f) served as baseline models with a fixed effect for the type of correlation and a random effect for study.  ... 
doi:10.1037/adb0000280 pmid:28639815 pmcid:PMC6039097 fatcat:62t4c4m7q5h5tepghq5pushbba

Towards automated testing and fixing of re-engineered Feature Models

Christopher Henard, Mike Papadakis, Gilles Perrouin, Jacques Klein, Yves Le Traon
2013 2013 35th International Conference on Software Engineering (ICSE)  
This paper introduces an automated search-based process to test and fix FMs so that they adequately represent actual products.  ...  Preliminary evaluation on the Linux kernel FM exhibit erroneous FM constraints and significant reduction of the inconsistencies.  ...  In sharp contrast, Software Product Line Engineering (SPLE) handles variability as a first-class concept through Feature Models (FMs) [3] .  ... 
doi:10.1109/icse.2013.6606689 dblp:conf/icse/HenardPPKT04 fatcat:ttbpq22ntrehvejukheeybbmm4

Least Squares Dummy Variable in Determination of Dynamic Panel Model Parameters

Joseph Uchenna Okeke, Evelyn Nkiruka Okeke
2018 European Journal of Engineering and Technology Research  
and the Akaike Information Criterion (AIC) with the motive of ascertaining the usefulness of the LSDV estimator in determining the parameters of a dynamic panel model as T?  ...  sample performance in the direction of T as N remains finite, and compares it with the performance of the instrumental variable- generalize method of moments (IV-GMM) estimators using the properties of  ...  Fixed Effect If 𝛼 𝑖 is unobserved, but correlated with the regressor, then the least squares estimator of the parameter is biased and inconsistent as a consequence of any omission of variable (s).  ... 
doi:10.24018/ejeng.2016.1.6.197 fatcat:enyych4c7ngmdij3gdckstxere

An Investigation into Inconsistency of Software Vulnerability Severity across Data Sources [article]

Roland Croft, M. Ali Babar, Li Li
2022 arXiv   pre-print
In this study, we investigate severity ranking inconsistencies over the SV reporting lifecycle.  ...  Inconsistency across these data sources affects the reliability of severity assessment data, and can consequently impact SV prioritization and fixing.  ...  We then fitted a logistic regression model to the remaining 10 explanatory variables, as logistic regression models are simple but effective predictors for binary response variables [24] .  ... 
arXiv:2112.10356v2 fatcat:anin6qolcbcntk7cd34ekcfbne

Dynamic Capital Structure Adjustment: Which estimator yields consistent and efficient estimates?

Vusani Moyo
2017 Journal of Economic and Financial Sciences  
The difference GMM estimator and the Anderson-Hsiao instrumental variables estimator are inconsistent and biased in the context of the partial adjustment model.  ...  Finding a suitable estimator to fit the model can be challenging, as the existing estimators differ significantly in their consistency and bias.  ...  1 = (1 − ) , + ( , ) + + , +1 (23) where denotes the speed of adjustment (SOA) towards the target leverage, and is the timeinvariant unobserved variable (firm-fixed effect).  ... 
doi:10.4102/jef.v9i1.38 fatcat:bwn5kpwsmzgmdorcd3wd5kfycq


2000 CrossRef Listing of Deleted DOIs  
Secondly, we present empirical data which show that decision makers do not adopt different strategies when dealing with bias in conditions of fixed or variable across-trial stimulus difficulty.  ...  In this article, we challenge the claim that a shift in drift criterion is necessary to perform optimally in a biased decision environment with variable stimulus difficulty.  ...  Neutral Data Inconsistent 0.00 0.25 0.50 0.75 1.00 0 500 1000 1500 Proportion Correct Quantile RTs (Variable) Model Consistent Model Neutral Model Inconsistent This is commonly  ... 
doi:10.3389/fpsyg.2012.00132 pmid:22615704 pmcid:PMC3351677 fatcat:ivj7fibd7rh3zam53ccce7jjsq

Inelastic sports pricing and risk

Per Andersen, Martin Nielsen
2013 Economics Letters  
Seemingly inconsistent with rational behavior, the empirical sports economics literature finds that sports teams price in the inelastic part of the demand curve.  ...  The result of the model is pricing in the inelastic range of the demand curve. Furthermore, using comparative statics we show that increased fixed costs lowers the price charged by the sports team.  ...  Yet the sports economics literature has on regular basis found empirical evidence that sports teams in fact price tickets in the elastic range of demand, seemingly inconsistent with profit maximization  ... 
doi:10.1016/j.econlet.2012.10.025 fatcat:pipyw4zsgbhtjgpef2oac2zzwq

Reliable and Advanced Predictors for Corporate Financial Choices in Pakistan

Umeair SHAHZAD, Accounting Department, Management College, Ocean University of China, Luo FUKAI, Faisal MAHMOOD, Liu JING, Zahoor AHMAD
2020 Journal of Asian Finance, Economics and Business  
We apply Akaike and Bayesian Information Criteria to remove overfitting issues among inconsistent proxies in the capital structure model.  ...  The general practice only validates the traditional capital structure model, which leads to inconsistency and a lack of novelty.  ...  The firms with good credit rating and high distance from bankruptcy move rapidly towards target debt with high-speed adjustment.  ... 
doi:10.13106/jafeb.2020.vol7.no7.073 fatcat:64abryyxqrc57nmi5q2enqwuau

Threshold mechanism for saccade initiation in frontal eye field and superior colliculus

Jay J. Jantz, Masayuki Watanabe, Stefan Everling, Douglas P. Munoz
2013 Journal of Neurophysiology  
We propose that fixed thresholds are the exception rather than the rule in FEF and SC, and that stabilization of an otherwise variable threshold depends on task-related, inhibitory modulation. DP.  ...  We tested the fixed-threshold hypothesis at the single-neuron and population levels to help resolve the inconsistency between previous studies.  ...  line of unity (inconsistent with a fixed-threshold model).  ... 
doi:10.1152/jn.00611.2012 pmid:23486198 fatcat:gvcl6a6tmbgmnb2njdfnqqonoi

Differentiating Text-Based and Knowledge-Based Validation Processes during Reading: Evidence from Eye Movements

Marloes L. van Moort, Arnout Koornneef, Paul W. van den Broek
2020 Discourse Processes  
Participants read versions of texts that varied systematically in (in)coherence with prior text or background knowledge.  ...  Contradictions with respect to prior text and background knowledge both were found to disrupt reading but in different ways: The two types of contradiction led to distinct patterns of processes, and, importantly  ...  Acknowledgments We thank Karin van Lunteren and Joosje Westink for their assistance in data collection. We also thank Edward J. O'Brien for discussions regarding the concept of validation.  ... 
doi:10.1080/0163853x.2020.1727683 fatcat:ofe34qbeizandcij77lwysddqu

Severity and Leniency Effect in Assessing Teaching Practicum: Analysis using Multi Facet Rasch Measurement (MFRM)

2020 International journal of recent technology and engineering  
, Model S.  ...  It can be concluded that these raters was inconsistent in rating student performance.  ...  Raters are ordered in the variable map in terms of the levels of the severity each exercised.  ... 
doi:10.35940/ijrte.d9953.018520 fatcat:k7da5w3wmbfn5dltpotewid7xm

Panel Data Estimation in Finance: Testable Assumptions and Parameter (In)Consistency

William D. Grieser, Charles J. Hadlock
2018 Journal of Financial and Quantitative Analysis  
We outline tests for strict exogeneity in both traditional (non-instrumental variable (IV)) and IV settings.  ...  We offer recommendations to address the strict-exogeneity issue in finance research.  ...  When we make the corresponding calculations for 5-year estimation For each dependent variable in Table 6 , we calculate the fixed-effects (FE) estimator for a regression with the modeled dependent variable  ... 
doi:10.1017/s0022109018000996 fatcat:mecrvupc3fgwlpfbajxskywga4

The behaviour of the maximum likelihood estimator of limited dependent variable models in the presence of fixed effects

William Greene
2004 Econometrics Journal  
In fact, in many models of interest to practitioners, computing the MLE of the parameters of fixed effects model is feasible even in panels with very large numbers of groups.  ...  The practical obstacle relates to the difficulty of computing the MLE of the coefficients of non-linear models with possibly thousands of dummy variable coefficients.  ...  ACKNOWLEDGEMENTS This paper has benefited from discussions with George Jakubson, Paul Allison, Peter Schmidt, Chirok Han, Pravin Trivedi, Martin Spiess, Manuel Arellano, and Scott Thompson and from seminar  ... 
doi:10.1111/j.1368-423x.2004.00123.x fatcat:jg47owgqeffzjcmhqoj3dxxiem
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