szz | Solidarity Szczecin–Goleniów Airport

Keyword	CPC	PCC	Volume	Score	Length of keyword
szz	1.23	0.5	2105	85	3

Keyword	CPC	PCC	Volume	Score
szzs	1.77	0.5	417	57
szzz	0.81	0.7	4625	18
szzzz	0.28	0.7	9433	35
szz airport	1.41	0.2	65	40
szzf	1.22	0.5	8685	46
szztk	1.82	0.6	9477	44
szzl stock	0.55	0.5	7930	90
szzl	1.01	0.5	2841	8
szzzdk	1.04	0.4	5784	44
szzc	1.73	0.7	3887	63
szzzss	1.15	0.7	164	3
szzssz	0.91	0.5	148	48
szzjj	0.94	0.8	1395	98
szzp	1.22	0.6	6689	72
szzpl	0.02	1	6016	97
szz krnov	0.45	0.7	2593	60
szzx1000	0.22	0.3	1601	12
szz1	0.44	0.2	6270	64
szze	0.97	0.5	252	26
szzrt eto	1.89	0.8	8428	55
szzxd	1.42	0.3	1726	36
szz algorithm	0.37	1	3439	43
szz hnk	1.35	1	1379	81
szasz	1.47	0.7	9500	32
szzsa	0.96	0.8	4272	52
szzsbk	0.47	0.6	6864	68
szzsw	0.31	0.3	1404	75
szzs stock	1.26	0.6	2976	26
szszbmk	0.42	1	2399	48
szzszy.cloudhw.cn/#/	1.03	0.5	7409	67

Search Results related to szz on Search Engine

Solidarity Szczecin–Goleniów Airport - Wikipedia
wikipedia.org

https://en.wikipedia.org/wiki/Solidarity_Szczecin%E2%80%93Goleni%C3%B3w_Airport

WEBNSZZ Solidarność) (IATA: SZZ, ICAO: EPSC) is the main domestic and international airport serving the city of Szczecin in Poland and is located 45 km (28 mi) northeast of the city, near the town of Goleniów, in the village of Glewice. About 1.6 million residents live within its catchment area.

DA: 47 PA: 46 MOZ Rank: 31

Problems with SZZ and features: An empirical study of the state …
springer.com

https://link.springer.com/article/10.1007/s10664-021-10092-4

WEBJan 18, 2022 · The SZZ algorithm is the de facto standard for labeling bug fixing commits and finding inducing changes for defect prediction data. Recent research uncovered potential problems in different parts of the SZZ algorithm.

DA: 58 PA: 75 MOZ Rank: 27

SZZ unleashed: an open implementation of the SZZ algorithm
acm.org

https://dl.acm.org/doi/10.1145/3340482.3342742

WEBAug 27, 2019 · We present SZZ Unleashed, an open implementation of the SZZ algorithm for git repositories. This paper describes our implementation along with a usage example for the Jenkins project, and conclude with an illustrative study on just-in-time bug prediction.

DA: 27 PA: 95 MOZ Rank: 32

Neural SZZ Algorithm | IEEE Conference Publication | IEEE Xplore
ieee.org

https://ieeexplore.ieee.org/document/10298347

WEBIn this paper, to address the aforementioned challenges, we propose NEURALSZZ, a deep learning approach for detecting the root cause deletion lines in a bug-fixing commit and using them as input for the SZZ algorithm.

DA: 20 PA: 42 MOZ Rank: 62

A comprehensive evaluation of SZZ Variants through a developer …
sciencedirect.com

https://www.sciencedirect.com/science/article/pii/S0164121223001243

WEBAug 1, 2023 · open access. Highlights. •. Developer-informed annotated dataset for evaluating SZZ, composed of 2304 instances. •. Empirical evaluation of 9 different SZZ variants, where R-SZZ performs best. •. Definition of a heuristic for SZZ that allows the processing of added lines in fix commits. •.

DA: 74 PA: 55 MOZ Rank: 38

SZZ Unleashed: An Open Implementation of the SZZ …
arxiv.org

https://arxiv.org/pdf/1903.01742

WEBWe present SZZ Unleashed, an open implementation of the SZZ algorithm for git repositories. This paper describes our implementation along with a usage example for the Jenkins project, and conclude with an illustrative study on just-in-time bug prediction.

DA: 2 PA: 11 MOZ Rank: 73

GitHub - wogscpar/SZZUnleashed: An implementation of the SZZ …
github.com

https://github.com/wogscpar/SZZUnleashed

WEBSZZ Unleashed is an implementation of the SZZ algorithm, i.e. an approach to identify bug-introducing commits, introduced by Śliwerski et al's in "When Do Changes Induce Fixes?", in Proc. of the International Workshop on Mining Software Repositories, May 17, 2005.

DA: 76 PA: 84 MOZ Rank: 16

Revisiting and Improving SZZ Implementations | IEEE Conference
ieee.org

https://ieeexplore.ieee.org/document/8870178

WEBSep 20, 2019 · Abstract: Background: The SZZ algorithm was proposed to identify bug-introducing changes, i.e., changes that are likely to induce bugs. Previous studies improved its implementation and evaluated its results.Aims: To address existing limitations of SZZ to improve the maturity of the algorithm.

DA: 90 PA: 53 MOZ Rank: 44

SZZ Unleashed: An Open Implementation of the SZZ Algorithm
deepai.org

https://deepai.org/publication/szz-unleashed-an-open-implementation-of-the-szz-algorithm-featuring-example-usage-in-a-study-of-just-in-time-bug-prediction-for-the-jenkins-project

WEBMar 5, 2019 · We present SZZ Unleashed, an open implementation of the SZZ algorithm for git repositories. This paper describes our implementation along with a usage example for the Jenkins project, and conclude with an illustrative study on just-in-time bug prediction.

DA: 73 PA: 96 MOZ Rank: 54

GitHub - danielcalencar/raszzprime
github.com

https://github.com/danielcalencar/raszzprime

WEBRA-SZZ ( Refactoring Aware - SZZ) is an improved and open source implementation of SZZ algorithm initially proposed by Sliwerski, Zimmermann, and Zeller (2005). RA-SZZ is designed to find bug introducing changes starting from bug-fix commits.

DA: 80 PA: 96 MOZ Rank: 27