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A systematic mapping study on cross-project defect prediction [article]

Steffen Herbold
2017 arXiv   pre-print
Cross-Project-Defect Prediction as a sub-topic of defect prediction in general has become a popular topic in research.  ...  In this article, we present a systematic mapping study with the focus on CPDP, for which we found 50 publications.  ...  Within this article, we provide a systematic mapping study of the literature onon CPDP. Three previous literature reviews were performed in the area of defect prediction.  ... 
arXiv:1705.06429v1 fatcat:tmw76rbj7bdgtlze2c45kfozre

A Framework for Defect Prediction in Specific Software Project Contexts [chapter]

Dindin Wahyudin, Rudolf Ramler, Stefan Biffl
2011 Lecture Notes in Computer Science  
We provide a guide to the body of existing studies on defect prediction by mapping the results of the systematic literature review to the framework.  ...  However, most defect prediction studies seem valid primarily in a particular context and little concern is given on how to find out which prediction model is well suited for a given project context.  ...  The objective of this paper is to provide a guide to the body of existing studies on defect prediction to facilitate the use of systematic defect prediction in the context of a particular project or organization  ... 
doi:10.1007/978-3-642-22386-0_20 fatcat:trwzuon4zzcgznt6ljiypra3si

Empirical Study of Software Defect Prediction: A Systematic Mapping

Le Son, Nakul Pritam, Manju Khari, Raghvendra Kumar, Pham Phuong, Pham Thong
2019 Symmetry  
In this paper, we perform a systematic mapping to analyze all the software defect prediction literature available from 1995 to 2018 using a multi-stage process.  ...  A total of 156 studies are selected in the first step, and the final mapping is conducted based on these studies.  ...  RQ9: How Many DeP Studies Perform Cross-Project DeP? Cross-project defect prediction is a very important aspect of DeP in software.  ... 
doi:10.3390/sym11020212 fatcat:cmnizotcjjguhosmcrvatbzppi

A Systematic Literature Review of Software Defect Prediction Using Deep Learning

Ahmed Bahaa, Enas Mohamed Fathy, Ahmed Sharaf Eldin, Laila A. Abd-Elmegid, Ahmed Bahaa, Ahmed Sharaf Eldin
2021 Journal of Computer Science  
The second one is concentrated on revealing these semantics. This paper presents a Systematic Literature Review (SLR) of software defect prediction using deep learning models.  ...  The project levels that applied in the studies were: Within-project 52.5%, cross-project 17.5% and both within-project and cross-project 30%.  ...  There are some studies that have been conducted in software defect prediction. Wahono (2015) presents a systematic literature review of software defect prediction.  ... 
doi:10.3844/jcssp.2021.490.510 fatcat:sawoov64m5hxxphni3jndzmqyq

Feature-Oriented Defect Prediction: Scenarios, Metrics, and Classifiers [article]

Mukelabai Mukelabai, Stefan Strüder, Daniel Strüber, Thorsten Berger
2021 arXiv   pre-print
We also found that a model trained on release-level data from one of the twelve projects could predict defect-proneness of features in the other eleven projects with median AUC-ROC of 82%, without retraining  ...  We covered scenarios such as just-in-time (JIT) and cross-project defect prediction. Our results confirm the feasibility of feature-oriented defect prediction.  ...  CROSS-PROJECT DEFECT PREDICTION (RQ5) In this section, we address cross-project defect prediction.  ... 
arXiv:2104.06161v1 fatcat:w6gsqtxqlnhg5asqbbanyebmqu

A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction [article]

Ning Li, Martin Shepperd, Yuchen Guo
2020 arXiv   pre-print
Results: Our meta-analysis shows that unsupervised models are comparable with supervised models for both within-project and cross-project prediction.  ...  Method: We conducted a systematic literature review that identified 49 studies containing 2456 individual experimental results, which satisfied our inclusion criteria published between January 2000 and  ...  For example: one study may include both within-project and cross-project prediction, it would be counted more than once.  ... 
arXiv:1907.12027v4 fatcat:q2o5ew5zhra5lauyebd3hl65uy

Statistical Analysis for Revealing Defects in Software Projects: Systematic Literature Review

Alia Nabil Mahmoud, Vítor Santos
2021 International Journal of Advanced Computer Science and Applications  
The early revelation of defects in software projects is also tried to avoid failure of those projects, save costs, team effort, and time.  ...  They also seek to deliver the soft-ware projects without any defects to the communities and just in time.  ...  CONCLUSION This paper presented a systematic review on the topic of revealing defects in software projects, concentrating on finding replies to our research questions, a diplomatic map was used to find  ... 
doi:10.14569/ijacsa.2021.0121128 fatcat:4q3f7v2uwbgozmrzbwjnp4snja


W. Eric Wong
2020 IEEE Transactions on Reliability  
This section has the following 11 papers: r "A novel class-imbalance learning approach for both within-project and cross-project defect prediction" r "DAMBA: Detecting android malware by ORGB analysis"  ...  software testing: A systematic mapping study" (09/2019) r "Understanding how to use static analysis tools for detecting cryptography misuse in software" (12/2019) r "An empirical study of fault triggers  ... 
doi:10.1109/tr.2020.2975433 fatcat:ywxcv66biba4tkt63uf7m4xuaq

Mining metrics to predict component failures

Nachiappan Nagappan, Thomas Ball, Andreas Zeller
2006 Proceeding of the 28th international conference on Software engineering - ICSE '06  
Using principal component analysis on the code metrics, we built regression models that accurately predict the likelihood of post-release defects for new entities.  ...  However, there is no single set of complexity metrics that could act as a universally best defect predictor.  ...  We would like to acknowledge all the product groups at Microsoft for their cooperation in this study.  ... 
doi:10.1145/1134285.1134349 dblp:conf/icse/NagappanBZ06 fatcat:5z7xsgy2tjhrtpdly6mpohbdwm

Course development in IC manufacturing

J. Pineda de Gyvez
1994 IEEE Transactions on Education  
The paper presents the course's syllabus, a description of its main topics, and results on selected project assignments carried out during a normal academic semester.  ...  As a result, manufacturing topics involving yield management, and the study of random process variations impacting circuit behavior are usually vaguely treated.  ...  Fig. 8 (a) shows one cumulative wafer map in Xalways, and Fig. 8(b) a yield versus area curve extracted from this wafer map. This project is very comprehensive.  ... 
doi:10.1109/13.330101 fatcat:lzs25fg4yba27ln57hivy3iv7m

Preface to the CIbSE 2016 Special Issue

Luca Cernuzzi, Lidia López, Jose Ignacio Panach, Martín Solari
2016 CLEI Electronic Journal  
., focuses on the study and comprehension of the human  ...  On the other hand, CIbSE is a flagship event in the field of Software Engineering, with the participation of a vibrant Ibero-American community.  ...  In absence of a set of historical defect data, a company can build an appropriate dataset from known external projects -called Cross-Project Defect Prediction (CPDP).  ... 
doi:10.19153/cleiej.19.3.0 fatcat:t3z3b5ofzbgznnr46cokvzeawe

Genetic dissection of the retinotectal projection

H Baier, S Klostermann, T Trowe, R O Karlstrom, C Nüsslein-Volhard, F Bonhoeffer
1996 Development  
The majority of the mutants display associated defects in other tissues and die before day 10. These mutants provide new tools for studying the formation of neuronal maps.  ...  A systematic search for mutations affecting the retinotectal projection in zebrafish larvae was performed, as part of the large-scale Tubingen screen for homozygous diploid mutants in embryonic development  ...  Chi-Bin Chien helpfully commented on the manuscript. Karl-Heinz Nill contributed Fig. 4 .  ... 
pmid:9007259 fatcat:gwqya4pgzbefpkzpxnz7bdry2m

A Novel Approach Using Fuzzy Self-Organizing Maps for Detecting Software Faults

Istvan-Gergely CZIBULA, Gabriela CZIBULA, Zsuzsanna MARIAN, Vlad-Sebastian IONESCU
2016 Studies in Informatics and Control  
module is or not a defective one.  ...  As software projects become more complex, there is an increased focus on their analysis and testing.  ...  The problem of cross-project defect detection is approached in [19] as well.  ... 
doi:10.24846/v25i2y201608 fatcat:yqth6r6vmvddlgz5ymnpcnoosi

A systematic estimation model for fraction nonconforming of a wafer in semiconductor manufacturing research

Jun-Shuw Lin
2012 Applied Soft Computing  
Thus, this paper presents a systematic estimation model with considering relevant variables about clustering defects for fraction nonconforming of a wafer.  ...  ), and the number of cluster groups (NCG) for defects by selforganized map (SOM) are utilized as inputs for GA-BPNN.  ...  [7] proposed a cluster index of defects by the projected x and y coordinates of defect locations on a wafer.  ... 
doi:10.1016/j.asoc.2012.01.019 fatcat:lscdumt4gvfy3ivl7gfd4pucla

Network Versus Code Metrics to Predict Defects: A Replication Study

Rahul Premraj, Kim Herzig
2011 2011 International Symposium on Empirical Software Engineering and Measurement  
Several defect prediction models have been proposed to identify which entities in a software system are likely to have defects before its release.  ...  In order to corroborate the generality of their findings, we replicate their study on three open source Java projects, viz., JRuby, ArgoUML, and Eclipse.  ...  Cross-project prediction setup (RQ3) The cross prediction setup entails using data from a release of one project to identify defect-prone entities in a release from another project.  ... 
doi:10.1109/esem.2011.30 dblp:conf/esem/PremrajH11 fatcat:bftx24i5ivdeldq5j7eo5l2dbi
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