相关实验视频

Updated: Jul 8, 2025

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

在全球和内部环境中对大型软件公司的SPI成功因素进行比较研究

Javed Iqbal¹, Haris Jibran², Ahmad Sami Al-Shamayleh³

¹Department of Computer Science, COMSATS University, Islamabad, Pakistan.

PeerJ. Computer science

|December 11, 2023

概括

本研究确定了使用全球软件开发 (GSD) 和内部方法的大型公司17个常见的软件流程改进 (SPI) 成功因素. 这些因素对于在两种环境中增强SPI至关重要.

科学领域:

软件工程软件工程软件工程
信息系统管理信息系统管理

背景情况:

软件流程改进 (SPI) 对不断发展的软件公司至关重要,无论是使用全球软件开发 (GSD) 还是内部模型.
目前关于SPI成功因素的研究主要集中在内部开发上,并忽略了大型公司,特别是在GSD环境中.
在了解SPI成功因素方面存在差距,SPI是针对采用GSD和内部开发策略的大型软件公司的成功因素.

研究的目的:

确定大型软件公司的关键软件流程改进 (SPI) 成功因素.
为了在全球软件开发 (GSD) 和内部开发环境中比较和对比这些因素.
在每个发展范式中确定共同的SPI成功因素的相对重要性.

主要方法:

进行了两次系统的文献审查,以确定最初的SPI成功因素.
进行工业调查,收集关于GSD和大型公司内部环境中SPI成功因素的数据.
利用统计分析,包括皮尔森相关性,肯德尔的陶和斯皮尔曼相关性,以比较因素及其影响.

主要成果:

确定了17个常见的软件流程改进 (SPI) 成功因素,适用于全球软件开发 (GSD) 和大型公司的内部开发.
发现这些共同因素对 SPI 举措作出了重大贡献和加速.
统计分析提供了对不同开发环境中这些因素的相对价值的见解.

结论:

17个共同因素的核心组件有效地支持大型公司的软件流程改进 (SPI),无论使用全球软件开发 (GSD) 还是内部方法.
这些已识别的因素为旨在加强其软件开发流程的组织提供了有价值的框架.
进一步的研究可以探索在特定的组织背景下对这些因素的细微应用和优先考虑.

关键词:

全球软件开发全球软件开发大规模的软件公司.SPI 成功的因素 SPI 成功的因素软件过程改进软件过程改进公司内部发展.

更多相关视频

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

相关概念视频

Statgraphics

Statgraphics

Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...

Introduction to Statistical Process Control

Introduction to Statistical Process Control

Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...

Statistical Package for the Social Sciences (SPSS)

Statistical Package for the Social Sciences (SPSS)

The Statistical Package for the Social Sciences, or SPSS, is a data management and analysis software suite. Developed by SPSS Inc. in 1968 and acquired by IBM in 2009, this tool was initially designed for social science data analysis, evolving to serve a wider range of disciplines. It was later renamed to Statistical Product and Service Solutions.
SPSS streamlines the process from data preparation to analysis and reporting. It is characterized by its user-friendly interface, which conceals...

Statistical Analysis System (SAS)

Statistical Analysis System (SAS)

SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...

Comparing the Survival Analysis of Two or More Groups

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...

Social Proof

Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.