Process Elements: Components of Software Process Architectures

Software process definition requires choosing the process elements that appropriately fulfil the tailoring requirements, such as to prevent risks or to satisfy quality goals. The selection of appropriate process elements is usually done manually, making this process complex, time-consuming and error-prone. Our main objective is to define a systematic approach to tailor software process and a support tool to simplify and to support the tailoring process by improving the selection process of reusable process elements. We developed a systematic approach to tailor software process based on software process architectures and lines. This approach selects the process elements that appropriately match the tailoring requirements. A web tool was developed to support the use of the proposed approach. We concluded that the approach aids process engineer to make decisions for selecting a set of process elements suitable to the tailoring requirements and to the project context.

Download Full-text

Intelligent Behavior Simulation Module for Software Process Elements

2011 Brazilian Symposium on Games and Digital Entertainment ◽

10.1109/sbgames.2011.29 ◽

2011 ◽

Cited By ~ 1

Author(s):

Rafael O. Chaves ◽

Walter A. Da L. Lobato ◽

Emanuel M. Da C. Tavares ◽

Sandro R. B. Oliveira ◽

Tales C. Miranda ◽

...

Keyword(s):

Software Process ◽

Behavior Simulation ◽

Intelligent Behavior ◽

Process Elements

Download Full-text

Process Correlation Analysis Model for Process Improvement Identification

The Scientific World JOURNAL ◽

10.1155/2014/104072 ◽

2014 ◽

Vol 2014 ◽

pp. 1-10

Author(s):

Su-jin Choi ◽

Dae-Kyoo Kim ◽

Sooyong Park

Keyword(s):

Correlation Analysis ◽

Software Development ◽

Process Improvement ◽

Development Process ◽

Reference Model ◽

Software Process ◽

Software Process Improvement ◽

Process Assessment ◽

Analysis Model ◽

Process Elements

Software process improvement aims at improving the development process of software systems. It is initiated by process assessment identifying strengths and weaknesses and based on the findings, improvement plans are developed. In general, a process reference model (e.g., CMMI) is used throughout the process of software process improvement as the base. CMMI defines a set of process areas involved in software development and what to be carried out in process areas in terms of goals and practices. Process areas and their elements (goals and practices) are often correlated due to the iterative nature of software development process. However, in the current practice, correlations of process elements are often overlooked in the development of an improvement plan, which diminishes the efficiency of the plan. This is mainly attributed to significant efforts and the lack of required expertise. In this paper, we present a process correlation analysis model that helps identify correlations of process elements from the results of process assessment. This model is defined based on CMMI and empirical data of improvement practices. We evaluate the model using industrial data.

Download Full-text

Distribution of R- and S-Process Elements in the Galactic Halo

Symposium - International Astronomical Union ◽

10.1017/s0074180900035555 ◽

1988 ◽

Vol 132 ◽

pp. 501-506

Author(s):

C. Sneden ◽

C. A. Pilachowski ◽

K. K. Gilroy ◽

J. J. Cowan

Keyword(s):

Heavy Element ◽

Galactic Halo ◽

Low Noise ◽

Heavy Elements ◽

Process Synthesis ◽

Element Abundances ◽

Halo Stars ◽

Abundance Patterns ◽

R Process ◽

Process Elements

Current observational results for the abundances of the very heavy elements (Z>30) in Population II halo stars are reviewed. New high resolution, low noise spectra of many of these extremely metal-poor stars reveal general consistency in their overall abundance patterns. Below Galactic metallicities of [Fe/H] Ã −2, all of the very heavy elements were manufactured almost exclusively in r-process synthesis events. However, there is considerable star-to-star scatter in the overall level of very heavy element abundances, indicating the influence of local supernovas on element production in the very early, unmixed Galactic halo. The s-process appears to contribute substantially to stellar abundances only in stars more metal-rich than [Fe/H] Ã −2.

Download Full-text