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A Case Study of Defect-Density and Change-Density and their Progress over Time

Anita Gupta, Odd Petter N. Slyngstad, Reidar Conradi, Parastoo Mohagheghi, Harald Ronneberg, Einar Landre
2007 11th European Conference on Software Maintenance and Reengineering (CSMR'07)  
We have performed an empirical case study, investigating defect-density and change-density of a reusable framework compared with one application reusing it over time at a large Oil and Gas company in Norway  ...  The DCF application here showed a decreasing defect-density, with an increasing changedensity.  ...  Table 2 gives an overview of the size and release date of the three DCF releases.  ... 
doi:10.1109/csmr.2007.5 dblp:conf/csmr/GuptaSCMRL07 fatcat:3bbh5wqd4zb2dndjbvvwkzmfvi

Radiofrequency Electromagnetic Field Exposure and Apoptosis: A Scoping Review of In Vitro Studies on Mammalian Cells

Stefania Romeo, Olga Zeni, Maria Rosaria Scarfì, Loredana Poeta, Maria Brigida Lioi, Anna Sannino
2022 International Journal of Molecular Sciences  
We conducted a systematic literature review and charted data in order to overview the main characteristics of included studies.  ...  As evidence-based critical evaluation of RF and apoptosis in vitro is lacking, we performed a scoping literature review with the aim of systematically mapping the research performed in this area and identifying  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijms23042322 pmid:35216437 pmcid:PMC8877695 fatcat:pg6v7egwvnekbbatuknevojg6y

Are automated static analysis tools worth it? An investigation into relative warning density and external software quality [article]

Alexander Trautsch and Steffen Herbold and Jens Grabowski
2021 arXiv   pre-print
We investigate whether files that induce a defect have more static analysis warnings than the rest of the project. Moreover, we investigate the impact of two different sets of ASAT rules.  ...  In this article, we ask the question if ASATs have a measurable impact on external software quality, using the example of PMD for Java.  ...  This not only reduces the number of alarms, which is important for the acceptance by developers, but also has a better relationship with the external quality of the software measured through bugs.  ... 
arXiv:2111.09188v2 fatcat:eywtozjo6nfkleiqfhadcvyzwm

Process performance model for predicting Delivered Defect Density in a software scrum project

Srijith Sreenivasan, Manimaran Sundaram
2016 IOSR Journal of Computer Engineering  
The study aims to develop a prediction model using these factors to predict the Delivered Defect Density.  ...  The purpose of this paper is to propose a predictive model as a driver for continuous improvement of Delivered Defect Density in the context of a Scrum project.Our findings show that using the prediction  ...  Background of the study In organizations where quality of software is a primary goal for the software projects, it is useful to measure and observe Delivered Defect Density as a lagging indicator signifying  ... 
doi:10.9790/0661-1805046073 fatcat:52p2nore3jclxozeup5hpnj72a

Parallel probability density approximation

Yi-Shin Lin, Andrew Heathcote, William R. Holmes
2019 Behavior Research Methods  
Probability density approximation (PDA) is a nonparametric method of calculating probability densities.  ...  This approach provides a practical solution for rapidly approximating probability densities with high precision.  ...  Next, we present a series of model-based studies in order to investigate the validity, scope, and best practices of all three techniques combined in the ppda package.  ... 
doi:10.3758/s13428-018-1153-1 pmid:31471826 fatcat:altda333e5ao7krpjpzy3vplg4

Thresholds for Size and Complexity Metrics: A Case Study from the Perspective of Defect Density

Kazuhiro Yamashita, Changyun Huang, Meiyappan Nagappan, Yasutaka Kamei, Audris Mockus, Ahmed E. Hassan, Naoyasu Ubayashi
2016 2016 IEEE International Conference on Software Quality, Reliability and Security (QRS)  
We relate the threshold-derived risk to (a) the probability that a file would have a defect, and (b) the defect density of the files in the highrisk group.  ...  Surprisingly, the defect density was uniformly lower in the very high-risk group of files. Our results suggest that, as expected, less code is associated with fewer defects.  ...  We evaluate software quality using two criteria -(a) defect proneness (probability of a file having a defect), and (b) defect density (the number of defects/LOC).  ... 
doi:10.1109/qrs.2016.31 dblp:conf/qrs/YamashitaHNKMHU16 fatcat:zcknctqfbradlkvt3o7mwillei

How the Experience of Development Teams Relates to Assertion Density of Test Classes

Gemma Catolino, Fabio Palomba, Andy Zaidman, Filomena Ferrucci
2019 2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)  
has previously been shown as an effective way to decrease fault density.  ...  First, we devise a statistical model relating development teams' experience and other control factors to the assertion density of test classes belonging to 12 software projects.  ...  ., branch or mutation coverage [11] - [13] ), but an analysis of the factors influencing them is out of the scope of this paper.  ... 
doi:10.1109/icsme.2019.00034 dblp:conf/icsm/CatolinoPZF19 fatcat:eyplhjp4wrgkvg3ls34i2qywum

Density and thermal expansion coefficients of liquid and austenite phase in lamellar cast iron

Kristina Hellström, Vasile-Lucian Diaconu, Attila Diószegi
2020 China Foundry  
Volume change related defects formation mechanisms are an important detracting phenomenon in production of complex shaped cast components.  ...  With these difficulties in mind, the present paper presents a broad experimental series and measures unidirectional linear deformation of an industrially spread lamellar cast iron alloy system (Fe-C-2Si  ...  All the members of these projects are greatly acknowledged. The authors also wish to thank Peter Gunnarsson, Jönköping University, for the machining of the dilatometer samples.  ... 
doi:10.1007/s41230-020-0004-8 fatcat:ugbiih7tt5f4pi4je7dnxfs3ci

Smart Identification of High-Density Tumor in Brain using Fish School-based Algorithm and Fuzzy Clustering Technique

Rajesh S
2021 Zenodo  
The above method provides better values than the other techniques for the segmentation of many sequences of various axes coordination. Nearly one quarter of death is reported due to cancer.  ...  Various types of imaging techniques such CT scan, X-rays are used for visualizing the anatomical structure of the human brain. But MRI uses low ionizing radiation when compared to X-Rays and CT.  ...  SYSTEM STUDY OVERVIEW The System Study model describes the purpose of the project, functionalities and necessary requirements which are needed for developing the project.  ... 
doi:10.5281/zenodo.5075236 fatcat:qd7vh4us4zgarkhxunwrupb54q

MRI with and without a high-density EEG cap—what makes the difference?

Carina Klein, Jürgen Hänggi, Roger Luechinger, Lutz Jäncke
2015 NeuroImage  
However, there are also studies showing a negative influence of the EEG on MRI data quality.  ...  Therefore, in the present study, we focused for the first time on the influence of the EEG on morphometric measurements of T1-weighted MRI data (voxel-and surfaced-based morphometry).  ...  Part of the data discussed in this paper have been presented at the International Conference on Basic an Multimodal Imaging (BaCI) in Geneva, Switzerland, 2013 (Klein et al., 2013) .  ... 
doi:10.1016/j.neuroimage.2014.11.053 pmid:25482268 fatcat:mnjx4uqf75crlcrdsgcdi4pg3e

Density Functional Theory of Electronic Structure

W. Kohn, A. D. Becke, R. G. Parr
1996 The Journal of Physical Chemistry  
Density functional theory (DFT) is a (in principle exact) theory of electronic structure, based on the electron density distribution n(r), instead of the many-electron wave function Ψ(r 1 ,r 2 ,r 3 ,..  ...  With the help of this lemma, a minimal principle for the energy as functional of n(r) can be derived. 3 For given V(r) one defines the following energy functional of n(r): where is a functional of n(r)  ...  Kohn), NSERC (A. D. Becke), and NSFCHE-9403431 (R. G. Parr).  ... 
doi:10.1021/jp960669l fatcat:btzd3ghiirdwfmt4qnct7yki4m

GanglionNet: Objectively Assess the Density and Distribution of Ganglion Cells With NABLA-N Network [article]

Md Zahangir Alom
2020 arXiv   pre-print
Hirschsprungs disease (HD) is a birth defect which is diagnosed and managed by multiple medical specialties such as pediatric gastroenterology, surgery, radiology, and pathology.  ...  We present an automated method to detect and count immunostained ganglion cells using a new NABLA_N network based deep learning (DL) approach, called GanglionNet.  ...  There is a lot of scope to improve this cell counting part to make this system more robust and accurate.  ... 
arXiv:2007.02367v1 fatcat:4rbybdzzabf2josuuukoh33yby

Process Monitoring Using Kernel PCA and Kernel Density Estimation-Based SSGLR Method for Nonlinear Fault Detection

Faisal Shahzad, Zhensheng Huang, Waqar Hussain Memon
2022 Applied Sciences  
The kernel density estimation (KDE) was employed to approximate UCLs for variational system operation relying on KPCA.  ...  Based on this perspective, this study attempts to incorporate KPCA with sequential sampling Generalized Likelihood Ratio (SSGLR) for monitoring the nonlinear fault in multivariate systems.  ...  Conflicts of Interest: The authors declare that they have no conflict of interest to report regarding the present study.  ... 
doi:10.3390/app12062981 fatcat:eowuv7n37jdudovt3ezw76pstm

Classical dynamical density functional theory: from fundamentals to applications [article]

Michael te Vrugt, Hartmut Löwen, Raphael Wittkowski
2020 arXiv   pre-print
It is an extension of the highly successful method of classical density functional theory (DFT) to nonequilibrium systems.  ...  In this review, we give a broad overview over classical DDFT. We explain its theoretical foundations and the ways in which it can be derived.  ...  Disclosure statement No potential conflict of interest was reported by the authors.  ... 
arXiv:2009.07977v1 fatcat:yr2td2pfgjbcnb3cqntoowoblu

Applications of large-scale density functional theory in biology

Daniel J Cole, Nicholas D M Hine
2016 Journal of Physics: Condensed Matter  
Density functional theory (DFT) has become a routine tool for the computation of electronic structure in the physics, materials and chemistry fields.  ...  Here, we review some of the major software and functionality advances that enable insightful electronic structure calculations to be performed on systems comprising many thousands of atoms.  ...  Acknowledgements DJC is supported by a Marie Curie International Outgoing Fellowship within the 7th European Community Framework Programme.  ... 
doi:10.1088/0953-8984/28/39/393001 pmid:27494095 fatcat:g4tr55fpejcz7fd7tqewcanetq
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