scholarly journals A Decade of Software Engineering Best Practices Adoption in Small Companies: A Quasi-Systematic Mapping

2017 ◽  
Author(s):  
Alex Costa ◽  
Juliana Saraiva ◽  
Yuska Aguiar
Keyword(s):  
Software Engineering ◽  
Best Practices ◽  
Process Model ◽  
Software Process ◽  
The Other ◽  
Small Companies ◽  
Systematic Mapping ◽  
Limited Budget ◽  
Test Application ◽  
Engineering Best Practices

SWEBOK is a guideline that provides information about Software Engineering (SE) knowledge, including a list of Best Practices (BPs) for adopting. However, small companies have restrictions such as, limited budget, reduced schedule, and, small staff that can hinder the advantages of these BPs adoption. Thus, this paper investigated the last decade of BPs adoption reported by small companies’ environment. A quasi-systematic mapping was conducted for assessing studies that addressed this issue, and it was possible to observe that the most prominent BPs adopted are “test application” and “software process model adoption”. On the other hand, “limited budget” and “staff size” were found as causes for non-adoption of SWEBOK’s BPs.

Programmatic modeling for biological systems

2021 ◽  
Author(s):  
Alexander L.R. Lubbock ◽  
Carlos F. Lopez
Keyword(s):  
Software Engineering ◽  
Best Practices ◽  
Computational Modeling ◽  
User Interfaces ◽  
Model Development ◽  
List Type ◽  
Cellular Processes ◽  
Domain Specific ◽  
Community Benefits ◽  
Engineering Best Practices

AbstractComputational modeling has become an established technique to encode mathematical representations of cellular processes and gain mechanistic insights that drive testable predictions. These models are often constructed using graphical user interfaces or domain-specific languages, with SBML used for interchange. Models are typically simulated, calibrated, and analyzed either within a single application, or using import and export from various tools. Here, we describe a programmatic modeling paradigm, in which modeling is augmented with best practices from software engineering. We focus on Python - a popular, user-friendly programming language with a large scientific package ecosystem. Models themselves can be encoded as programs, adding benefits such as modularity, testing, and automated documentation generators while still being exportable to SBML. Automated version control and testing ensures models and their modules have expected properties and behavior. Programmatic modeling is a key technology to enable collaborative model development and enhance dissemination, transparency, and reproducibility.HighlightsProgrammatic modeling combines computational modeling with software engineering best practices.An executable model enables users to leverage all available resources from the language.Community benefits include improved collaboration, reusability, and reproducibility.Python has multiple modeling frameworks with a broad, active scientific ecosystem.

Understanding Requirement Engineering Practices

2013 ◽  
pp. 109-118 ◽  
Author(s):  
Saqib Saeed ◽  
Ashi Iram ◽  
Kiran Nazeer ◽  
Tayyaba Ayub
Keyword(s):  
Software Engineering ◽  
Best Practices ◽  
State Of The Art ◽  
Software Process ◽  
Requirement Engineering ◽  
Public Private Partnerships ◽  
Main Task ◽  
It Industry ◽  
Medium Scale ◽  
Engineering Practices

Requirement engineering is a main task in software process. In Software Engineering literature, many best practices and guidelines are present to construct quality software. However, adoption of such uniform guidelines is not in practice across the globe. In this chapter, the authors discuss requirement engineering practices followed in Pakistani small- and medium-scale enterprises. In order to understand work practices the authors conducted a survey and analyzed the responses. They found that cost and budgeting is one of the major issues of Pakistani industry: higher management is not willing to invest to adopt state-of-the-art standardized practices. This situation can be improved by enhancing public private partnerships to get desired quality software in the local IT industry.

scholarly journals IT Leadership In A Global Environment: An Analysis Of Critical Success Factors And Software Engineering Best Practices In Context Of India

2011 ◽  
Vol 5 (6) ◽  
Author(s):  
Sanjay Singh ◽  
Karthik Mahadevan
Keyword(s):  
Software Engineering ◽  
Best Practices ◽  
Critical Success Factors ◽  
Success Factors ◽  
Global Market ◽  
Critical Success ◽  
To Come ◽  
Engineering Best Practices ◽  
Entrepreneurial Activities ◽  
It Leadership

Over the past few years, the IT landscape has changed dramatically to facilitate new entrants from emerging economies in the global market. Some nations such as India and China are poised to emerge as IT superpowers in the years to come. In this paper, we attempt analyze some of the critical success factors (CSF) that facilitate the development of IT leaders. Taking India as an example, we explore CSFs like educational system, governmental policies, infrastructure and entrepreneurial activities that are necessary for creating and fostering IT leaders. We conclude by describing the best practices for implementing software engineering projects in an offshore environment.

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