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A review of studies on expert estimation of software development effort

M. Jørgensen
2004 Journal of Systems and Software  
experts and estimation strategies; (10) assess the uncertainty of the estimate; (11) provide feedback on estimation accuracy and development task relations; and, (12) provide estimation training opportunities  ...  This paper provides an extensive review of studies related to expert estimation of software development effort.  ...  Acknowledgement Thanks to professor in psychology at the University of Oslo, Karl Halvor Teigen, for his very useful suggestions and interesting discussions.  ... 
doi:10.1016/s0164-1212(02)00156-5 fatcat:ao3zrpv3u5bhrhbr2avpjfndva

Enhance accuracy in Software development's planning & estimation process by adopt "Uncertainty Analysis and Assessment" in the system modeling process" A Review

Kardile Vilas Vasantrao
2012 IOSR Journal of Engineering  
At the early stage of software development effort estimation is done.  ...  In the process of software project development prediction of effort and estimate it is very challenging task. So it is referred as intricate "brain tester".  ...  Acknowledgements I would also like to thanks to all staff member of computer sci. Dept. who inspire us for this work.  ... 
doi:10.9790/3021-0203511515 fatcat:ntkqz6glinclbkrywzigqiv3a4

Eliminating Over-Confidence in Software Development Effort Estimates [chapter]

Magne Jørgensen, Kjetil Moløkken
2004 Lecture Notes in Computer Science  
Previous studies show that software development projects strongly underestimate the uncertainty of their effort estimates.  ...  In this paper, we investigate whether the use of estimation error information from previous projects improves the realism of uncertainty assessments.  ...  It is possible that the same tendency to neglect the relevance of historical data is present in the context of software development effort estimation uncertainty assessment.  ... 
doi:10.1007/978-3-540-24659-6_13 fatcat:nmwhywfkgjhw7ddqw7kvs632cu

Milestone Markets: Software Cost Estimation through Market Trading

D.J. Berndt, J.L. Jones, D. Finch
2006 Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)  
This paper proposes a very different approach, the use of information markets to continually aggregate the individual estimates of diverse software project stakeholders.  ...  Direct approaches base "expert" estimates on detailed requirements, along with the experience and intuition of the estimator.  ...  Additionally, an information market gives immediate feedback that can reveal the level of uncertainty within a project and provide learning opportunities for participants.  ... 
doi:10.1109/hicss.2006.271 dblp:conf/hicss/BerndtJF06 fatcat:vtmdl4qlbbgs7ofznys6kbsbhi

Effort estimation in incremental software development

O. Benediktsson, D. Dalcher
2003 IEE Proceedings - Software  
Models that predict development effort as an exponential function of product size are used in the paper to explore some of the relationships between effort and the number of increments, thereby providing  ...  new insights into the economic impact of incremental approaches to software projects.  ...  INTRODUCTION Estimating the development effort for a software system is a long standing problem in software project management.  ... 
doi:10.1049/ip-sen:20031056 fatcat:7gm4d5wbjbhmhe77r4fotnel6q

Estimating Risk in Information Technology Projects

Andrew Gemino, Christopher Sauer, Blaize Horner Reich
2007 Americas Conference on Information Systems  
Results from this analysis provide a classification tree with 8 nodes that demonstrates the ease of interpretation of the classification tree results.  ...  A data set (n=227) with 9 risk factors is used to develop a classification tree estimate.  ...  Figure 1: Multilayer Perceptron The important elements of a neural network are that the activation function is developed and updated as a result of the learning that takes place from an initial data set  ... 
dblp:conf/amcis/GeminoSR07 fatcat:vl2o4nnevvfjtm5dfug6q6dwui

Estimating operational risk indices for software services outsourcing industry: a case

J. Dasgupta, R.P. Mohanty
2010 International Journal of Services and Standards  
He has over three decades of work experience in the field of software, and software project management across the globe. R.P.  ...  In this paper, we demonstrate the use of generic risk factors by developing a computational and workflow system framework.  ...  Acknowledgements We gratefully acknowledge the insightful comments and feedbacks of the anonymous reviewers that allowed us to make this paper more value adding.  ... 
doi:10.1504/ijss.2010.034459 fatcat:scrinrdwgrbxvnff5ztbkn3tfi

Hyperparameter Optimization for Effort Estimation [article]

Tianpei Xia, Rahul Krishna, Jianfeng Chen, George Mathew, Xipeng Shen, Tim Menzies
2019 arXiv   pre-print
One of the "black arts" of software analytics is tuning the parameters controlling a data mining algorithm.  ...  We introduce a hyperparameter optimization architecture called OIL (Optimized Inductive Learning). We test OIL on a wide range of hyperparameter optimizers using data from 945 software projects.  ...  outcome of software projects [89, 52, 53, 83] .  ... 
arXiv:1805.00336v4 fatcat:oseaw5dqyvcwxhejs6vtnjecze

Towards improving decision making and estimating the value of decisions in value-based software engineering: the VALUE framework

Emilia Mendes, Pilar Rodriguez, Vitor Freitas, Simon Baker, Mohamed Amine Atoui
2017 Software quality journal  
Such need is clearly pressing in innovative industries, such as ICT, and is also the core of Value-based Software Engineering (VBSE).  ...  The goal of this paper is to detail a framework called VALUE-improving decision-making relating to softwareintensive products and services development-and to show its application in practice to a large  ...  Thus, over the last 30 years, significant effort has been put into developing software cost estimation techniques (Jorgensen and Shepperd 2007) .  ... 
doi:10.1007/s11219-017-9360-z fatcat:aybo2u7vsveqlkjksubony2qia

A Systematic Mapping of Factors Affecting Accuracy of Software Development Effort Estimation

Dirk Basten, Ali Sunyaev
2014 Communications of the Association for Information Systems  
This study investigates extant research on factors that affect accuracy of software development effort estimation.  ...  For software developers, our results provide a useful map to check the assumptions that undergird their estimates, to build comprehensive experience databases, and to adequately staff design projects.  ...  with the uncertainty assessment of effort estimation  Publications related to estimation of software size, the assessment of software complexity, or the identification of factors associated with software  ... 
doi:10.17705/1cais.03404 fatcat:nj7rc3nwxrh25piiyhas32bjxa

ERP Services Effort Estimation Strategies Based on Early Requirements

Pierre Erasmus, Maya Daneva
2015 Requirements Engineering: Foundation for Software Quality  
Today's highly volatile and customized ERP landscape demands a new approach to estimate effort by leveraging ERP professionals' tacit knowledge and expert judgments, as well as information from historical  ...  ERP project estimation at the stage of early requirements in a contractual setting has been challenging as it requires the inclusion and the availability of multiple experts, each being a specialist in  ...  From software project estimation standpoint, the method also includes the lessons learned from the past research on expert judgment estimatio, estimation by analogy and function point based estimation.  ... 
dblp:conf/refsq/ErasmusD15 fatcat:q4wfpiil6fen3g3whajlro5lhu

Development of a hybrid cost estimation model in an iterative manner

Adam Trendowicz, Jens Heidrich, Jürgen Münch, Yasushi Ishigai, Kenji Yokoyama, Nahomi Kikuchi
2006 Proceeding of the 28th international conference on Software engineering - ICSE '06  
Cost estimation is a very crucial field for software developing companies. The acceptance of an estimation technique is highly dependent on estimation accuracy.  ...  During the model improvement cycles, estimation accuracy was improved from an initial 120% down to 14%. In addition, lessons learned with the iterative development approach are described.  ...  ., where we conducted the study and applied CoBRA ® , as well as all involved Oki experts and local organizers, who greatly contributed to the successful performance of the project.  ... 
doi:10.1145/1134285.1134332 dblp:conf/icse/TrendowiczHMIYK06 fatcat:26oomuh5hreahbgs66v4l6dttq

Tailored Uncertainty Estimation for Deep Learning Systems [article]

Joachim Sicking, Maram Akila, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
2022 arXiv   pre-print
Uncertainty estimation bears the potential to make deep learning (DL) systems more reliable.  ...  To actually harness the potential of uncertainty quantification, estimators are required whose properties closely match the requirements of a given use case.  ...  Acknowledgments The research of J. Sicking and T. Wirtz was funded by the Fraunhofer Center for Machine Learning within the Fraunhofer Cluster for Cognitive Internet Technologies. The work of M.  ... 
arXiv:2204.13963v1 fatcat:ofd4dibpxjemfeylt6hsc7puoa

Assessing COTS integration risk using cost estimation inputs

Ye Yang, Barry Boehm, Betsy Clark
2006 Proceeding of the 28th international conference on Software engineering - ICSE '06  
code integration effort estimate with the COnstructive COTS integration cost estimation (COCOTS) tool.  ...  We also develop a prototype called COCOTS Risk Analyzer to automate our risk assessment method.  ...  The "Depending on someone else" nature of CBD often places software processes and products under greater uncertainty.  ... 
doi:10.1145/1134285.1134345 dblp:conf/icse/YangBC06 fatcat:luu3qnazvzdd5aqy5ifogewo7q

Project Costs and Risks Estimation Regarding Quality Management System Implementation [chapter]

Adela-Eliza Dumitrascu, Anisor Nedelcu
2012 Total Quality Management and Six Sigma  
Consequently, the estimation process in a project must start from the estimation times. To do this, we can assess the effort required to execute each task.  ...  The major software cost and schedule estimation techniques can be grouped and classified as regression-based models, learning-oriented models, expert based approaches and finally composite-Bayesian methods  ... 
doi:10.5772/46084 fatcat:ucu5ltbkzfbodnsuuak2z4jzb4
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