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How effective is Tabu search to configure support vector regression for effort estimation?

A. Corazza, S. Di Martino, F. Ferrucci, C. Gravino, F. Sarro, E. Mendes
2010 Proceedings of the 6th International Conference on Predictive Models in Software Engineering - PROMISE '10  
Recent studies have shown that Support Vector Regression (SVR) has an interesting potential in the field of effort estimation.  ...  We have investigated the use of an optimization technique in combination with SVR to select a suitable subset of parameters to be used for effort estimation.  ...  CONCLUSIONS In the paper, we have assessed whether the use of Tabu Search can be effective for configuring Support Vector Regression parameters in estimating Web application development effort.  ... 
doi:10.1145/1868328.1868335 dblp:conf/promise/CorazzaMFGSM10 fatcat:ulh5k72dmrcudowh4k6dqewnui

An Experimental Comparison of Three Machine Learning Techniques for Web Cost Estimation

Olawande Daramola, Ibidun Ajala, Ibidapo Akinyem
2016 International Journal of Software Engineering and Its Applications  
Many comparative studies on the performance of machine learning (ML) techniques for web cost estimation (WCE) have been reported in the literature.  ...  This paper presents a comparative analysis of three prominent machine learning techniques -Case-Based Reasoning (CBR), Support Vector Regression (SVR) and Artificial Neural Network (ANN)in terms of performance  ...  Acknowledgements The Covenant University Centre for Research Innovation and Development (CUCRID) supported this research.  ... 
doi:10.14257/ijseia.2016.10.2.16 fatcat:4ix3eaxg25ezdh27tlhfcddnxa

The Last State of Artificial Intelligence in Project Management [article]

Mohammad Reza Davahli
2020 arXiv   pre-print
However, the most popular PM processes among included papers were project effort prediction and cost estimation, and the most popular AI techniques were support vector machines, neural networks, and genetic  ...  This paper reports on a systematic review of the published studies used to investigate the application of AI in PM.  ...  vector regression to estimate the project effort [50] .  ... 
arXiv:2012.12262v1 fatcat:q3qxxsb6rbailg7leuoputgphy

Improving Software Development effort estimating using Support Vector Regression and Feature Selection

Abdelali ZAKRANI, Mustapha HAIN, Ali IDRI
2019 IAES International Journal of Artificial Intelligence (IJ-AI)  
In this study, an improved model is designed for estimating software effort using support vector regression (SVR) and two feature selection (FS) methods.  ...  Accurate and reliable software development effort estimation (SDEE) is one of the main concerns for project managers.  ...  Support vector regression has been also used to estimate the development effort of web projects using Tukutuku dataset in [30, [40] [41] .  ... 
doi:10.11591/ijai.v8.i4.pp399-410 fatcat:c6jq776a4bggtnz3nedgwidcxm

Using tabu search to configure support vector regression for effort estimation

A. Corazza, S. Di Martino, F. Ferrucci, C. Gravino, F. Sarro, E. Mendes
2011 Empirical Software Engineering  
Recent studies have reported that Support Vector Regression (SVR) has the potential as a technique for software development effort estimation.  ...  We designed TS to search for the parameters of both the support vector algorithm and of the employed kernel function, namely RBF.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided  ... 
doi:10.1007/s10664-011-9187-3 fatcat:k374ssn4rnftrnv542borpngd4

Use Case Point Approach Based Software Effort Estimation using Various Support Vector Regression Kernel Methods [article]

Shashank Mouli Satapathy, Santanu Kumar Rath
2014 arXiv   pre-print
The Support Vector Regression (SVR) is one of several different soft-computing techniques that help in getting optimal estimated values.  ...  The use case point approach relies on the use case diagram to estimate the size and effort of software projects.  ...  These data are used to develop the support vector regression based software effort estimation model.  ... 
arXiv:1401.3069v2 fatcat:ke4c6fsfbjewbnox2kqxr26tvm

Software Project Estimation with Machine Learning

Noor Azura Zakaria, Amelia Ritahani Ismail, Afrujaan Yakath Ali, Nur Hidayah Mohd Khalid, Nadzurah Zainal Abidin
2021 International Journal of Advanced Computer Science and Applications  
The objective of this research is to use several algorithms of machine learning to estimate the effort of software project development.  ...  Even though such a model is being used, COCOMO has some weaknesses and software developers still facing the problem of lack of accuracy of the effort and cost estimation.  ...  of effort attribute used. 733 | P a g e www.ijacsa.thesai.org However, the planned comparison in this paper reveals the good performance and increase in the accuracy of Support Vector Machine for estimation  ... 
doi:10.14569/ijacsa.2021.0120685 fatcat:dkbptwumfzffpozhdwdarfed5y

Page 1157 of Journal of Climate Vol. 12, Issue 4 [page]

1999 Journal of Climate  
scores, B is the matrix of regression coefficients, and e, is the vector of regression model errors.  ...  APRIL 1999 (The Web site addresses for these data are http:// www.ngdc.noaa.gov/paleo/pdsiyear.html for the annual PDSI maps and _ http://www.ngdc.noaa.gov/paleo/us- client2.html for the summer PDSI time  ... 

Search-based approaches for software development effort estimation

Federica Sarro
2011 Proceedings of the 12th International Conference on Product Focused Software Development and Process Improvement - Profes '11  
The main aim of the PhD dissertation is to provide an insight on the use of Search-Based techniques for effort estimation trying to highlight strengths and weaknesses.  ...  In the last years the use of Search-Based techniques has been suggested to estimate software development effort.  ...  As for the use of SB to enhance existing effort estimation techniques, the combination of Tabu Search with Support Vector Regression (SVR) was proposed.  ... 
doi:10.1145/2181101.2181111 fatcat:x77s6igtqfgk3etjbgsc7wu72e

Performance modeling of distributed multi-tier enterprise systems

Abhishek Dubey, Rajat Mehrotra, Sherif Abdelwahed, Asser Tantawi
2009 Performance Evaluation Review  
Acknowledgment This work is supported in part by the NSF SOD Program, contact number CNS-0804230.  ...  We are currently investigating the use of limited processor sharing (LPS) queues [8] for modeling web servers.  ...  Upon further investigation, the maximum number of threads available in the JAVA web server seems to be a likely candidate for being the bottleneck resource.  ... 
doi:10.1145/1639562.1639566 fatcat:aladdjdfzrfwjneymiflthknn4

Improving Pharmacological Research of HIV-1 Integrase Inhibition Using Differential Evolution - Binary Particle Swarm Optimization and Nonlinear Adaptive Boosting Random Forest Regression

Richard Adrian Galvan, Ahmad Reza Hadaegh, Matinehalsadat Kashani Moghaddam
2015 2015 IEEE International Conference on Information Reuse and Integration  
This report extends an initial investigative study of Aryl β-Diketo Acids for HIV-1 Integrase inhibition that used linear QSAR models implemented using a Multiple Linear Regression (MLR) machine learning  ...  In the work, we present results produced from non-linear QSAR models developed and implemented using evolutionary computation and Random Forest Regression to study the effectiveness of dimeric Aryl β-Diketo  ...  web modeling system as part of support for future research efforts of different configurations of DE-BPSO AdaBoost Random Forest Regression as well as extending support for other implementations of non-linear  ... 
doi:10.1109/iri.2015.80 dblp:conf/iri/GalvanHM15 fatcat:mhh7yyiewfhgtg6dyblw7l3v7i

Software Development Effort Estimation Using Random Forests: An Empirical Study and Evaluation

Abdelali Zakrani, Hassan II University, Mustapha Hain, Abdelwahed Namir, Hassan II University, Faculte des Sciences Ben M'sik
2018 International Journal of Intelligent Engineering and Systems  
So far, very few studies have investigated the potential of Random Forests (RF) in software effort estimation.  ...  Moreover, the proposed model performs better than some recent techniques reported in the literature for software effort estimation.  ...  To improve the accuracy of single tree-based model, Elish investigated the use Multiple Additive Regression Trees (MART) in software effort estimation and compared their performance with that of Linear  ... 
doi:10.22266/ijies2018.1231.30 fatcat:4phq3csgsnfvhc6vpw7ykc4xn4

Effort Estimation for Service-Oriented Computing Environments

Siba Mishra, Chiranjeev Kumar
2018 Computing and informatics  
The evaluation results of the study (using industrial data collected from 10 SOA based software systems) show that the effort estimates obtained using the multiple linear regression model are more accurate  ...  These ideas bring many new opportunities for the project managers in making the estimates of effort required to produce SOA systems.  ...  The statistical models use the method of regression for estimating the software development effort for some past data.  ... 
doi:10.4149/cai_2018_3_553 fatcat:ync5hjtarbc75kvlvrsg4irgja

On the relevance of social media platforms in predicting the volume and patterns of web defacement attacks

David Maimon, Andrew Fukuda, Steve Hinton, Olga Babko-Malaya, Rebecca Cathey
2017 2017 IEEE International Conference on Big Data (Big Data)  
Addressing this empirical gap, we draw on the social learning theory and estimate the relationships between hackers' use of Facebook, Twitter, and YouTube and the frequency of web defacement attacks they  ...  Results from a series of Negative Binomial Regression analyses reveal that hackers' use of social media platforms, and specifically Twitter and Facebook, significantly increases the frequency of web defacement  ...  Analytic Strategy -To estimate the relationships between hackers' use of social media platforms and the volume of web defacement attacks they generated, we used a series of negative binomial regression  ... 
doi:10.1109/bigdata.2017.8258513 dblp:conf/bigdataconf/MaimonFHBC17 fatcat:o4njn5n3zfc6pm2vxi5kkfjnem

Estimation Approaches of Machine Learning in Scrum Projects: A Review

Chitrak Vimalbhai Dave
2021 International Journal for Research in Applied Science and Engineering Technology  
There are many reasons for the gap between estimated and actual effort, viz., project, people, and resistance factors, wrong use of cost drivers, ignorance of regression testing effort, understandability  ...  Abstract: It is inevitable for any successful IT industry not to estimate the effort, cost, and duration of their projects.  ...  " OR "Bayesian net" OR "support vector machine" OR "support vector regression" OR "deep" OR "learning" OR "fuzzy" OR "neuro-fuzzy" OR "ANFIS" OR "meta-heuristic" OR "Scrum" OR "Agile" AND "software" AND  ... 
doi:10.22214/ijraset.2021.38977 fatcat:vhiixhefxfhcbl6ep4npcawnpy
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