A Software Tools Catalogue to Support the Statistical Process Control on the Software Context

被引:0
作者
Pereira Neto, Aluizio Ramos [1 ]
Bezerra Oliveira, Sandro Ronaldo [1 ]
机构
[1] Fed Univ Para, Inst Exact & Nat Sci, Grad Program Comp Sci, Belem, Para, Brazil
来源
PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON EVALUATION OF NOVEL APPROACHES TO SOFTWARE ENGINEERING (ENASE) | 2019年
关键词
Statistical Process Control; Software Tools; Empirical Software Engineering;
D O I
10.5220/0007759505100517
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Statistical Process Control (SPC) is applied to the software context in process analysis and improvement in high level maturity organizations. There are some studies that talk about the SPC in the context of software, however, these do not yet describe in depth the approaches related to it. The main goal of this study is to present the results of a Systematic Review of Literature, aiming to identify the SPC-related approaches (in this work, approaches are understood as techniques, frameworks, methods and tools to support the implementation of a process), which were put together in the form of a catalog. In this study, only the tools that implement the SPC will be presented, describing its characteristics, example of use, availability and ownership. With this study researchers will obtain valuable information for the possible future application of these tools in their development contexts.
引用
收藏
页码:510 / 517
页数:8
相关论文
共 18 条
[1]  
Ab Rahman MN, 2008, MATH COMPUT SCI ENG, P145
[2]  
[Anonymous], 2010, UNDERSTANDING STAT P
[3]  
Baldassarre M. T., 2007, 11 EV ASS SOFTW ENG, P94
[4]  
Barcellos M. P., 2009, THESIS
[5]  
Chang Y. W., 2013, INT J PRECIS ENG MAN, P67
[6]  
Fernandez-Corrales Carla, 2013, 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), P323, DOI 10.1109/ESEM.2013.51
[7]   Statistical Control of Software Process: A Systematic Review [J].
Garces, Bibiana Y. ;
Pino, Francisco J. .
SISTEMAS & TELEMATICA, 2014, 12 (31) :55-76
[8]  
Kitchenham BA., 2015, EVIDENCE BASED SOFTW
[9]  
Neto A. R. P., 2017, CONTECSI 2017, P3283
[10]  
Neto A. R. P., 2018, CONTECSI 2018, P2979