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Towards system analysis with variability model metrics

Thorsten Berger, Jianmei Guo
2013 Proceedings of the Eighth International Workshop on Variability Modelling of Software-Intensive Systems - VaMoS '14  
Variability models are central artifacts in highly configurable systems.  ...  An evaluation of these metrics with real-world models and codebases provides insight into the benefits of such metrics for the defined perspectives.  ...  INTRODUCTION Variability models, such as feature or decision models, are prominent means to cope with variability in highly configurable systems.  ... 
doi:10.1145/2556624.2556641 dblp:conf/vamos/BergerG14 fatcat:6j4uz4jv5jhhhperd3z3uxnm7e

Metric Learning for Simulation Analytics

Graham Laidler, Lucy E. Morgan, Barry L. Nelson, Nicos G. Pavlidis
2020 2020 Winter Simulation Conference (WSC)  
This model is built on the premise of a system-specific measure of similarity between observations of the state, which we inform via metric learning.  ...  We present a k nearest neighbors model on system state information to facilitate real-time predictions of a stochastic performance measure.  ...  analysis from their simulation models.  ... 
doi:10.1109/wsc48552.2020.9383904 fatcat:afke77arkjb3zegdzpbiqqnwre

Towards Formulating Dynamic Model for Predicting Defects in System Testing using Metrics in Prior Phases

Muhammad Dhiauddin Mohamed Suffian, School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia, Dayang Norhayati Abang Jawawi, Rd. Rohmat Saedudin, Mohd Adham Isa, School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia, School of Industrial Engineering, Telkom University, 40257 Bandung, West Java, Indonesia, School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
2018 International Journal of Integrated Engineering  
By applying statistical analysis to those metrics, this model able to formulate one generalized mathematical equation for predicting defects in system testing.  ...  This study specifically focuses on establishing a prediction model for system testing defects by exploiting metrics prior to system testing under V-model development.  ...  testing Effort in system testing Table 4 : 4 Sets of independent and dependent variables for regression analysis Set Independent Variables (Predictors) Dependent Variable (Target/ Prediction  ... 
doi:10.30880/ijie.2018.10.06.009 fatcat:exzgbq77jbdwxjsho2vpz35rgy

A Survey of Bayesian Network Models for Decision Making System in Software Engineering

Nageswarao M., N. Geethanjali
2016 International Journal of Computer Applications  
Traditional Bayesian networks are system dependable and their models are invariant towards the accurate computation.  ...  This model reveals the high potential software efforts and metrics required to minimize the overall cost of the organization for decision support.  ...  Prob State - A Prob State - C Prob State - B Prob State - E Prob State - D  Explores the change in node behavior towards the software metrics.  ... 
doi:10.5120/ijca2016906330 fatcat:cq45rwqsubaadfwszki26bap6q

Early Stage Software Reliability Modeling using Requirements and Object-Oriented Design Metrics: Fuzzy Logic Perspective

Syed Wajahat, Raees Ahmad, Vivek Kumar
2017 International Journal of Computer Applications  
With this spirit, researcher has proposed and implemented a reliability prediction model through fuzzy inference system that utilizes early stage product based measures from requirements and object-oriented  ...  The model has been validated as well as quantitatively compared with two existing reliability models.  ...  In this analysis, the impact of input variable on output variable is analyzed. It is desirable to know the significance of input metrics in software reliability prediction.  ... 
doi:10.5120/ijca2017913290 fatcat:pbujb3rfkzcyfeavxcdlvm53wa

Assessing the Impact of Translation Errors on Machine Translation Quality with Mixed-effects Models

Marcello Federico, Matteo Negri, Luisa Bentivogli, Marco Turchi
2014 Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)  
Our approach is based on linear mixed-effects models, which allow the analysis of error-annotated MT output taking into account the variability inherent to the specific experimental setting from which  ...  Interesting findings are reported, concerning the impact of different error types both at the level of human perception of quality and with respect to performance results measured with automatic metrics  ...  To cope with these issues and define system improvement priorities, the focus of MT evaluation research is gradually shifting towards profiling systems' behaviour with respect to various typologies of  ... 
doi:10.3115/v1/d14-1172 dblp:conf/emnlp/FedericoNBT14 fatcat:ryou4fnh5ra7tbb24wizfjvbvu

Characterization and Validation of Requirements Management Measures Using Correlation and Regression Model

Arun Kumar S, Arun Kumar T
2011 International Journal of Computer Science & Information Technology (IJCSIT)  
Propose requirements metrics to measure and manage software process during the development of information systems.  ...  The major contribution of this paper is well-founded methods to manage the project and effective requirements management metrics to measure changing requirements while giving particular attention to the  ...  Here RS metric is dependent variable of NRC metric and ARD metric.  ... 
doi:10.5121/ijcsit.2011.3217 fatcat:xuwrgscipvdtpd2jg236ucmx2q

Analyzing cashless behavior among generation Z in Indonesia

Raden Aswin Rahadi, Nindya Resti Ramadhani Putri, Subiakto Soekarno, Sylviana Maya Damayanti, Isrochmani Murtaqi, Jumadil Saputra
2021 International Journal of Data and Network Science  
The model to assess the influencing factors is adopted from UTAUT variables: performance expectancy, effort expectancy, and social influence, combined with two external variables: culture and perceived  ...  Lastly, the analysis towards the coefficient of each variable is necessary to figure out which variables are significantly correlated with the dependent variable to test the hypothesis of this study.  ...  Actual use Behavior (AU) as the dependent variable of this analysis is a variable with a threelevel ordinal scale.  ... 
doi:10.5267/j.ijdns.2021.8.007 fatcat:pcpv2x23yfduhdselutxrpzbxa

Metrics for identifying the most suitable strategy for distributed localised food manufacturing

Pedro Gimenez-Escalante, Shahin Rahimifard
2019 Procedia Manufacturing  
This paper highlights four possible models for implementation of DLM in the food sector, defines nine key metrics to aid with selection of the most suitable DLM model for a specific food product family  ...  This paper highlights four possible models for implementation of DLM in the food sector, defines nine key metrics to aid with selection of the most suitable DLM model for a specific food product family  ...  Model C and D). DLM metrics for system assessment A system level analysis is essential to ensure the long-term viability and sustainability of any DLM model implementation.  ... 
doi:10.1016/j.promfg.2019.04.073 fatcat:i5arvbjavjf37olczlpzaac5ce

Managerial use of metrics for object-oriented software: an exploratory analysis

S.R. Chidamber, D.P. Darcy, C.F. Kemerer
1998 IEEE Transactions on Software Engineering  
In this research an analysis of a set of metrics proposed by Chidamber and Kemerer (1994) is performed in order to assess their usefulness for practicing managers.  ...  In response to this need, a number of researchers have developed various object-oriented metrics as proposed aids to the management of these systems.  ...  In this section, three categories of regression models using these variables are presented, along with an interpretation of the various models.  ... 
doi:10.1109/32.707698 fatcat:tfd5fqziozdkbbuppxrv2cxhle

Towards Understanding the Importance of Variables in Dependable Software

Matthew Leeke, Arshad Jhumka
2010 2010 European Dependable Computing Conference  
perspective, with the research presented supporting the thesis that, where it exists under the assumed system model, an efficient EDM consists of a set of critical variables.  ...  In particular, this research proposes (i) a metric suite that can be used to generate a relative ranking of the program variables in a software ii with respect to their criticality, (ii) a systematic approach  ...  Towards the Identification of Critical Variables . Towards the Identification of Critical Variables . Towards the Identification of Critical Variables .  ... 
doi:10.1109/edcc.2010.20 dblp:conf/edcc/LeekeJ10 fatcat:h2mtikxotbctlfsflseerh5cmu

Quality driven software migration of procedural code to object-oriented design

Y. Zou
2005 21st IEEE International Conference on Software Maintenance (ICSM'05)  
To deal with large software systems, we decompose the system into a collection of smaller clusters.  ...  We present an incremental reengineering framework that allows for quality requirements to be modeled as soft-goals, and transformations to be applied selectively towards achieving specific quality requirements  ...  The object identification techniques focus on two areas: a) the analysis of global variables and their data types, and b) the analysis of complex data types in formal parameter lists.  ... 
doi:10.1109/icsm.2005.71 dblp:conf/icsm/Zou05 fatcat:ms2thf6iv5c2bln57ycqltkceu

Vegetation Productivity in Natural vs. Cultivated Systems along Water Availability Gradients in the Dry Subtropics

Germán Baldi, Marcos Texeira, Francisco Murray, Esteban G. Jobbágy, Cristina Armas
2016 PLoS ONE  
with a global climatology database by means of additive models for quantile regressions.  ...  Vegetation productivity was characterized with the proxy metric "Enhanced Vegetation Index" (EVI) (2000 to 2012 period), on 6186 natural and cultivated sampling points on five continents, and combined  ...  These patterns changed radically in the extreme τ 10 models, with natural systems being more unstable than cultivated systems towards arid conditions, and all the way around towards the humid (S2 and S3  ... 
doi:10.1371/journal.pone.0168168 pmid:28005955 pmcid:PMC5179098 fatcat:46gz7yjzija5tpmkkj6m4bputy

Early Warnings for State Transitions

Caleb P. Roberts, Dirac Twidwell, Jessica L. Burnett, Victoria M. Donovan, Carissa L. Wonkka, Christine L. Bielski, Ahjond S. Garmestani, David G. Angeler, Tarsha Eason, Brady W. Allred, Matthew O. Jones, David E. Naugle (+2 others)
2018 Rangeland Ecology & Management  
with statistical early warning metrics able to predict and prevent state transitions.  ...  New concepts have emerged in theoretical ecology with the intent to quantify complexities in ecological change that are unaccounted for in state-and-transition models and to provide applied ecologists  ...  Generalized Modeling Introduced by Lade and Gross (2012) , generalized modeling (GM) as a proposed EWI metric creates dynamical functions to describe each variable and their interactions with other variables  ... 
doi:10.1016/j.rama.2018.04.012 pmid:30800013 pmcid:PMC6381995 fatcat:xziqiuloyba67lbpg5m23dtke4

A Comparative Analysis of Maintainability Approaches for Web Applications

E. Ghosheh, J. Qaddour, M. Kuofie, S. Black
2006 IEEE International Conference on Computer Systems and Applications, 2006.  
Since, web applications are different from traditional software systems, models and metrics for traditional systems can not be applied to web applications.  ...  In order to control the maintenance cost, quantitative metrics and models for predicting web applications' maintainability must be used.  ...  In [19] Maintenance Time is used as the dependent variable and some metrics based on the Navigational model are used as independent variables.  ... 
doi:10.1109/aiccsa.2006.205235 dblp:conf/aiccsa/GhoshehQKB06 fatcat:576e65fogbexpg374m3a7lwufi
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