An explanatory analysis on eclipse beta-release bugs through in-process metrics

2011 ◽  
Author(s):  
Ayse Tosun Misirli ◽  
Brendan Murphy ◽  
Thomas Zimmermann ◽  
Ayse Basar Bener
Keyword(s):  
Explanatory Analysis ◽  
Process Metrics

PENGARUH TERPAAN MEDIA TERHADAP REPUTASI LEMBAGA PEMERINTAH

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Tias Mustika
Keyword(s):  
Media Exposure ◽  
Quantitative Approach ◽  
Explanatory Analysis ◽  
Exposure Variable ◽  
The Media

The purpose of this study was to determine the effect of media exposure on reporting cases of alleged corruption in the sale and purchase of positions on Television on the reputation of the Ministry of Religion in Cipadu residents, Tangerang. The theory used in this research is exposure to the media and reputation. This research uses a quantitative approach by distributing questionnaires to respondents with explanatory analysis. The results of the study explained that Ha who stated that there was an influence between the variables of media exposure regarding the reporting of alleged cases of corruption in buying and selling positions on Television on the reputation of the Ministry of Religion on Cipadu Tangerang residents was received. Ho also pointed out that there was no influence of the media exposure variable on reporting cases of alleged corruption in the sale and purchase of positions on the reputation of the Ministry of Religion in Cipadu residents, Tangerang rejected. The magnitude of the level of the effect coefficient interval lies in the low region, so it can be concluded that the media exposure to the reputation of the Ministry of Religion has a low influence.

PENGARUH KEPEMIMPINAN DAN MOTIVASI TERHADAP KINERJA KARYAWAN PT. ASTRA HONDA MOTOR DI CIKAMPEK

2016 ◽  
Vol 4 (3) ◽  
Author(s):  
Nuridin, SE., MM Nuridin ◽  
Winda Lia Septiani
Keyword(s):  
Research Method ◽  
Employee Performance ◽  
Research Result ◽  
Sampling Technique ◽  
Analysis Approach ◽  
Explanatory Analysis ◽  
Leadership Motivation ◽  
Saturated Sample ◽  
Causality Relationship ◽  
The Relationship

The purpose of this study was to determine how the relationship and influence of leadership and motivation to employees performance at PT. Astra Honda Motor. The research method was used with Explanatory Analysis approach that explains the causality relationship between variables. Sampling technique was using saturated sample, all members of the population were sampled. From this research result was found there is a relationship and influence which is significant between the variables of leadership motivation to employee performance at PT. Astra Honda Motor among variables by using the test F, where F count larger than F table (32.173 > 3.158). Conclusion: There is a significant effect that can be explained by the result obtained from the R-square is 0530, which means that the variables of leadership and motivation are giving contribution of 53.0% to the variable of employees performance at PT. Astra Honda Motor, while the remaining 47.0% was contributed by other variables which not researched. Suggestions which the author convey to company, leadership which was contained in the company would need to be more increased, considers motivation of employees was good enough.

An Explanatory Analysis of the Insurable Value Concept

1973 ◽  
Vol 40 (3) ◽  
pp. 437
Author(s):  
Howard E. Winklevoss
Keyword(s):  
Explanatory Analysis ◽  
Value Concept

USING CLASSIFICATION TREES FOR SOFTWARE QUALITY MODELS: LESSONS LEARNED

1999 ◽  
Vol 09 (02) ◽  
pp. 217-231 ◽  
Author(s):  
TAGHI M. KHOSHGOFTAAR ◽  
EDWARD B. ALLEN ◽  
ARCHANA NAIK ◽  
WENDELL D. JONES ◽  
JOHN P. HUDEPOHL
Keyword(s):  
Software Quality ◽  
Classification Trees ◽  
Lessons Learned ◽  
Quality Models ◽  
Model Based ◽  
Software Product ◽  
High Assurance ◽  
Process Metrics ◽  
Product And Process ◽  
Software Quality Models

High software reliability is an important attribute of high-assurance systems. Software quality models yield timely predictions of quality indicators on a module-by-module basis, enabling one to focus on finding faults early in development. This paper introduces the Classification And Regression Trees (CART) a algorithm to practitioners in high-assurance systems engineering. This paper presents practical lessons learned on building classification trees for software quality modeling, including an innovative way to control the balance between misclassification rates. A case study of a very large telecommunications system used CART to build software quality models. The models predicted whether or not modules would have faults discovered by customers, based on various sets of software product and process metrics as independent variables. We found that a model based on two software product metrics had comparable accuracy to a model based on forty product and process metrics.

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