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On the costs and profit of software defect prediction

Steffen Herbold
2019 IEEE Transactions on Software Engineering  
Our cost model includes aspects like the costs for quality assurance, the costs of post-release defects, the possibility that quality assurance fails to reveal predicted defects, and the relationship between  ...  Within this article, we close this research gap and formulate a cost model for software defect prediction.  ...  CONCLUSION In this article, we specified a cost model for software defect prediction, showed how the cost model can be used to calculate the profit of defect prediction, and defined mathematically provable  ... 
doi:10.1109/tse.2019.2957794 fatcat:ne53lhlmyrhwfmvughxkk56rnu

Maximum profit mining and its application in software development

Charles X. Ling, Victor S. Sheng, Tilmann Bruckhaus, Nazim H. Madhavji
2006 Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06  
In this paper, we develop an Escalation Prediction (EP) system that mines historic defect report data and predict the escalation risk of the defects for maximum net profit.  ...  A small number of these defects will be escalated by customers and they must be resolved immediately by the software vendors at a very high cost.  ...  The cost of correcting all defects predicted positively by EP is thus the multiplication of the number of defects predicated positively and the cost of correcting such a defect; that is, (tp+fp)×FP.  ... 
doi:10.1145/1150402.1150530 dblp:conf/kdd/LingSBM06 fatcat:iitzg4dn7bdzpogyeisc5uynqy

An Impact of Linear Regression Models for Improving the Software Quality with Estimated Cost

Arun Kumar Marandi, Danish Ali Khan
2015 Procedia Computer Science  
In this methodology, Software quality model can make timely predictions of reliability indications; it's enabling to improve software development processes by target reducing the estimated cost for software  ...  It describes the approach of quantitative quality management through defect removal effectiveness and statistical process control of cost analysis with historical project data.  ...  The software companies spend more amount of cost on finding the defects and bad fixing.  ... 
doi:10.1016/j.procs.2015.06.039 fatcat:dsi66yi2rvcxjouvvzh7xywiaa

A cost-effectiveness criterion for applying software defect prediction models

Hongyu Zhang, S. C. Cheung
2013 Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering - ESEC/FSE 2013  
Ideally, software defect prediction models should help organize software quality assurance (SQA) resources and reduce cost of finding defects by allowing the modules most likely to contain defects to be  ...  In this paper, we study the cost-effectiveness of applying defect prediction models in SQA and propose a basic cost-effectiveness criterion.  ...  ACKNOWLEDGMENTS This research is supported by the NSFC projects 61073006 and 61272089, and Hong Kong SAR RGC/GRF project 611811.  ... 
doi:10.1145/2491411.2494581 dblp:conf/sigsoft/ZhangC13 fatcat:4i6ug2gos5dvjk27c2o2kffcuu

Towards an Estimation Model for Software Maintenance Costs

Irene Buchmann, Sebastian Frischbier, Dieter Putz
2011 2011 15th European Conference on Software Maintenance and Reengineering  
A effort estimation model based on costdrivers for maintenance allows a rough prediction of maintenance costs as a baseline for negotiations The profit margin depends on many parameters (e.g. pricing  ...  politics, market situation) Cost estimation and profit margin are combined within the service provider's pricing model Our multi-level approach allows to: (i) create data transparency, (ii) examine current  ... 
doi:10.1109/csmr.2011.45 dblp:conf/csmr/BuchmannFP11 fatcat:jer7s2pcbvgqxdodwufe3cf62u

Cost Effectiveness of Software Defect Prediction in an Industrial Project

Jaroslaw Hryszko, Lech Madeyski
2018 Foundations of Computing and Decision Sciences  
Unfortunately, the cost effectiveness of software defect prediction in industrial settings is not eagerly shared by the pioneering companies.  ...  To meet this goal, we conducted a defect prediction and simulated potential quality assurance costs based on the best possible prediction results when using a default, non-tweaked DePress configuration  ...  Software defect prediction has been considered to be too complex a process, too cost and time-consuming, and there have been no known solutions for wrapping it into one, universal, defect prediction application  ... 
doi:10.1515/fcds-2018-0002 fatcat:fhsucf4oenhddk64zvkmouyvre

"Analyzing the Effect with Integrated Technique for Feature Selection and Software Defect Prediction"

2019 International journal of recent technology and engineering  
software defect prediction (sdp) technique was projected to designate testing assets sanely, decide the testing want of assorted modules of the software system, and improve programming quality.  ...  Predicting the defects is almost a unique analysis space of programming quality planning.  ...  learning and feature selection on the performance of classifying the software defects.  ... 
doi:10.35940/ijrte.b1625.078219 fatcat:uk4zb3iqsre5toghx3iim3bkla

Defects Prediction and Prevention Approaches for Quality Software Development

Mashooque Ahmed Memon, Mujeeb-Ur-Rhman Magsi, Muniba Memon, Syed Hyder
2018 International Journal of Advanced Computer Science and Applications  
This paper presents a review of software defects prediction and its prevention approaches for the quality software development.  ...  It is important to better understand and compute the association among software defects and its failures for the effective prediction and elimination of these defects to decline the failure and improve  ...  Even these measures are low cost, and the total cost savings achieved due to the profit at the end of the phase are quite high compared to the cost of a fixed failure.  ... 
doi:10.14569/ijacsa.2018.090857 fatcat:667psssrirdvtmkeihql5r3zz4

Evaluating the cost of software quality

Sandra A. Slaughter, Donald E. Harter, Mayuram S. Krishnan
1998 Communications of the ACM  
The explosive growth of the software industry in recent years has focused attention on the problems long associated with software development: uncontrollable costs, missed schedules, and unpredictable  ...  [3] and Banker, Chang, and Kemerer [1] on project scale size in software development and maintenance; and Mukhopadhyay and Kekre on features for software cost estimation [10].  ...  We introduce three new metrics in the software engineering economics context: cost of software quality (COSQ), return on software quality (ROSQ), and software quality profitability index (SQPI). 1 We  ... 
doi:10.1145/280324.280335 fatcat:nvuckx7qjrco7o7og6ughg75ou

A Stochastic Approach for Valuing Customers: A Case Study

Hyun-Seok Hwang
2016 International Journal of Software Engineering and Its Applications  
Various researches on customer value have conducted under the name of Customer Lifetime Value (CLV), Customer Equity, Customer Profitability, and LifeTime Value.  ...  Data mining techniques are used to predict lifetime value of a customer. Marketing implications will be discussed based on the result of individual CLV.  ...  Acknowledgements This paper is a revised and expanded version of a paper entitled "A Dynamic Model for Valuing Customers: A Case Study" presented at GST 2015, Jeju island, Dec. 16 ~ Dec. 19, 2015.  ... 
doi:10.14257/ijseia.2016.10.3.07 fatcat:zohsh2w7ujh37mf52a6vl2zm2a

Estimation of Testing and Rework Efforts for Software Development Projects

2015 Asian Journal of Computer Science And Information Technology  
Hence it becomes very critical to predict and control the numbers of defects identified during testing and this is a very challenging task as it requires a good predicting model to predict the rework effort  ...  Number of defects will depend on the expertise and experience of the team (productivity) to work on similar type of projects and technology.  ... 
doi:10.15520/ajcsit.v5i5.15 fatcat:rhr3kkslpjhcjaohmcy3ys5lvy

UBDM 2006

Bianca Zadrozny, Gary Weiss, Maytal Saar-Tsechansky
2006 SIGKDD Explorations  
In this report we provide a summary of the Second International Workshop on Utility-Based Data Mining (UBDM-06) held in conjunction with the 12 th ACM SIGKDD International Conference on Knowledge Discovery  ...  The workshop was held on August 20, 2006 in Philadelphia, PA, USA.  ...  We aimed for the workshop to facilitate interaction among researchers and practitioners and to promote the transfer of ideas among problems previously addressed in isolation and in this regard we think  ... 
doi:10.1145/1233321.1233338 fatcat:knxiyv57rfedvluk3cqyljrtsm

Combining Architecture-based Software Reliability Predictions with Financial Impact Calculations

Franz Brosch, Ralf Gitzel, Heiko Koziolek, Simone Krug
2010 Electronical Notes in Theoretical Computer Science  
Software failures can lead to substantial costs for the user. Existing models for software reliability prediction do not provide much insight into this financial impact.  ...  First we model cost relevant business processes as well as the associated IT layer and then connect them to failure probabilities. Based on this we conduct a reliability and cost estimation.  ...  The first includes lost profits and penalty costs for late delivery to the customer.  ... 
doi:10.1016/j.entcs.2010.07.002 fatcat:zzypxr7y3bfsdaaoyyjzmblpka

A Search-based Training Algorithm for Cost-aware Defect Prediction

Annibale Panichella, Carol V. Alexandru, Sebastiano Panichella, Alberto Bacchelli, Harald C. Gall
2016 Proceedings of the 2016 on Genetic and Evolutionary Computation Conference - GECCO '16  
Developers are unlikely to devote the same effort to inspect each software artifact predicted to contain defects, since the effort varies with the artifacts' size (cost) and the number of defects it exhibits  ...  Developers are unlikely to devote the same effort to inspect each software artifact predicted to contain defects, since the effort varies with the artifacts' size (cost) and the number of defects it exhibits  ...  Consequently, prediction methods should be cost-effective, where the effectiveness is number of defects to predict and the inspection cost is approximated by the lines of code (LOC) metric, relying on  ... 
doi:10.1145/2908812.2908938 dblp:conf/gecco/PanichellaAPBG16 fatcat:wptpz2qnsnb2lnpmuwjezye36q

Review on Machine Learning Framework for Software Defect Prediction

Jamshiya P K
2017 International Journal for Research in Applied Science and Engineering Technology  
Software defect prediction is the process of tracing defective components in software prior to the start of testing phase.  ...  Defect prediction leads to low cost, development time, reduced rework effort, increased customer satisfaction and more reliable software.  ...  Using software defect prediction model, one can able to identify potential defect prone software, predict number of defects, Identify possible causes of defects.  ... 
doi:10.22214/ijraset.2017.8084 fatcat:q3mcp5v2kfdnhice6xkalkfmny
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