Applying GQM in an industrial software factory

1998 ◽  
Vol 7 (4) ◽  
pp. 411-448 ◽  
Author(s):  
Alfonso Fuggetta ◽  
Luigi Lavazza ◽  
Sandro Morasca ◽  
Stefano Cinti ◽  
Giandomenico Oldano ◽  
...  
Keyword(s):  
Software Factory ◽  
Industrial Software

Industrial Software Technology

IEE Review ◽  
1988 ◽  
Vol 34 (4) ◽  
pp. 154
Author(s):  
M.H. Barton
Keyword(s):  
Software Technology ◽  
Industrial Software

Review of Matheron’s Kriging Method and its Application at the Estimation of Mineral Deposits

Veritas ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 59
Author(s):  
Edgar M Marín Ballón ◽  
Hugo Jiménez-Pacheco ◽  
Máximo O. M. Rondón Rondón ◽  
Antonio E. Linares Flores Castro ◽  
Ferly E. Urday Luna
Keyword(s):  
Geological Structure ◽  
Mineral Deposits ◽  
Kriging Method ◽  
Geostatistical Methods ◽  
Recoverable Reserves ◽  
Complex Geological Structure ◽  
The Mean ◽  
Industrial Software ◽  
Strict Stationarity ◽  
Mining Exploration

The Geostatistics provides effective tools for the solution of many problems of engineering in which the location in the space of the variable under study is considered, based on definitions of mathematics that provide the necessary foundation for its application. In particular, the Geostatistics are applied in the spatial estimation of the recoverable reserves of mineral deposits. The geostatistical methods that are used in the estimation of mineral deposits are implemented in industrial software and consider the evaluation of the complex geological structure, but these softwares only display the obtained results with an input data and do not exhibit the concepts thatthey use during the process or the methodology of its application. This happens particularly with the Kriging method, which is based on the assumption of strict stationarity, taking into account changes in the mean and local variations, therefore unreliable. In this study is established to review the Kriging method, its application in the estimation of the recoverable reserves of mining deposits and the relevance of the developed model established particularly in mines ofPeru, which use this method as part of the mining exploration for the evaluation of the feasibility of exploitation.

scholarly journals Sifu - a cybersecurity awareness platform with challenge assessment and intelligent coach

Cybersecurity ◽  
2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Tiago Espinha Gasiba ◽  
Ulrike Lechner ◽  
Maria Pinto-Albuquerque
Keyword(s):  
Real Life ◽  
Critical Infrastructures ◽  
Automatic Assessment ◽  
Software Developers ◽  
Software Vulnerabilities ◽  
Secure Coding ◽  
Industrial Software ◽  
Industrial Standards ◽  
Coding Guidelines ◽  
Industrial Context

AbstractSoftware vulnerabilities, when actively exploited by malicious parties, can lead to catastrophic consequences. Proper handling of software vulnerabilities is essential in the industrial context, particularly when the software is deployed in critical infrastructures. Therefore, several industrial standards mandate secure coding guidelines and industrial software developers’ training, as software quality is a significant contributor to secure software. CyberSecurity Challenges (CSC) form a method that combines serious game techniques with cybersecurity and secure coding guidelines to raise secure coding awareness of software developers in the industry. These cybersecurity awareness events have been used with success in industrial environments. However, until now, these coached events took place on-site. In the present work, we briefly introduce cybersecurity challenges and propose a novel platform that allows these events to take place online. The introduced cybersecurity awareness platform, which the authors call Sifu, performs automatic assessment of challenges in compliance to secure coding guidelines, and uses an artificial intelligence method to provide players with solution-guiding hints. Furthermore, due to its characteristics, the Sifu platform allows for remote (online) learning, in times of social distancing. The CyberSecurity Challenges events based on the Sifu platform were evaluated during four online real-life CSC events. We report on three surveys showing that the Sifu platform’s CSC events are adequate to raise industry software developers awareness on secure coding.

Software testing with code-based test generators: data and lessons learned from a case study with an industrial software component

2013 ◽  
Vol 22 (2) ◽  
pp. 311-333 ◽  
Author(s):  
Pietro Braione ◽  
Giovanni Denaro ◽  
Andrea Mattavelli ◽  
Mattia Vivanti ◽  
Ali Muhammad
Keyword(s):  
Software Testing ◽  
Software Component ◽  
Lessons Learned ◽  
Industrial Software

The Software Factory

Computer ◽  
1975 ◽  
Vol 8 (5) ◽  
pp. 28-37 ◽  
Author(s):  
H. Bratman ◽  
T. Court
Keyword(s):  
Software Factory

A Software Factory for Education in Software Engineering

2008 ◽  
Author(s):  
Fábio Levy Siqueira ◽  
Gabriela M. Cabel Barbarán ◽  
Jorge Luis Risco Becerra
Keyword(s):  
Software Engineering ◽  
Software Factory

Enhancing Symbolic Execution to Test the Compatibility of Re-engineered Industrial Software

2012 ◽  
Author(s):  
Susumu Tokumoto ◽  
Tadahiro Uehara ◽  
Kazuki Munakata ◽  
Haruyuki Ishida ◽  
Toru Eguchi ◽  
...  
Keyword(s):  
Symbolic Execution ◽  
Industrial Software

scholarly journals Soymilk plant simulation to predict the formula of a new Hypothetical Product

2018 ◽  
Vol 38 (1) ◽  
pp. 46-51
Author(s):  
Iacobi Boanerges Boanerges
Keyword(s):  
Amino Acids ◽  
Rhode Island ◽  
New Product ◽  
Analysis Method ◽  
Crop Cultivation ◽  
Mass Fractions ◽  
Industrial Software ◽  
Plant Simulation ◽  
Unique Compound ◽  
Final Flow

Ideal Patterns reactors alteration by real reactor patterns, for better accuracy was done using industrial software: Aspen Plus and Hysys Version 7.1 to represent the batch real mixer and soymilk production system. Fluid package for properties prediction was chosen from the software list. A feed steam of 41,67 Kg/h (Soybean) was taken; mass fractions were given by element since the Soybean has a wide blend of substances which cannot be described as a unique compound formula. The elements were C, N, H, O, S, Na, K, Mg, Ca, Fe, P, and Cu. Final flow of 8,333 Kg/h was used to achieve the objective of this study: the elemental analysis method for the hypothetical new product prediction (based only in presence of Amino-acids and other macro and multiple substances). The macromolecules described here are the onset for new specific soymilk compounds such as the concluded on this study. Fulminic Acid Family compound and the protein analysis may correspond to new proteins which are not well-known such as the ones found in studies by the Hospital de Rhode Island in 2014. Presence of Fe and Cu in soybean was ascribed to the micronutrients that could be present in the soil of crop cultivation and in soybeans by absorption.

scholarly journals Multi-purpose, multi-level feature modeling of large-scale industrial software systems

2016 ◽  
Vol 17 (3) ◽  
pp. 913-938 ◽  
Author(s):  
Daniela Rabiser ◽  
Herbert Prähofer ◽  
Paul Grünbacher ◽  
Michael Petruzelka ◽  
Klaus Eder ◽  
...  
Keyword(s):  
Large Scale ◽  
Feature Modeling ◽  
Software Systems ◽  
Multi Level ◽  
Industrial Software
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