Effects Of Modern Programming Practices On Software Development Costs

2005 ◽  
Author(s):  
R.K.e. Black
Keyword(s):  
Software Development ◽  
Development Costs ◽  
Programming Practices

Open Source Software Systems

2010 ◽  
pp. 439-459
Author(s):  
R. B. Lenin ◽  
S. Ramaswamy ◽  
Liguo Yu ◽  
R. B. Govindan
Keyword(s):  
Software Development ◽  
Software Systems ◽  
The Internet ◽  
Development Projects ◽  
Work Processes ◽  
High Quality ◽  
Software Products ◽  
Geographic Boundaries ◽  
Doing Business ◽  
Development Costs

Complex software systems and the huge amounts of data they produce are becoming an integral part of our organizations. We are also becoming increasingly dependent on high quality software products in our everyday lives. These systems ‘evolve’ as we identify and correct existing defects, provide new functionalities, or increase their nonfunctional qualities - such as security, maintainability, performance, etc. Simultaneously, more software development projects are distributed over multiple locations (often globally) and are often several millions of dollars in development costs. Consequently, as the Internet continually eliminates geographic boundaries, the concept of doing business within a single country has given way to companies focusing on competing in an international marketplace. The digitalization of work and the reorganization of work processes across many organizations have resulted in routine and/or commodity components being outsourced.

Methodology Fit in Offshoring Software Development Projects

2014 ◽  
Vol 27 (4) ◽  
pp. 66-81
Author(s):  
Peng Xu ◽  
Yurong Yao
Keyword(s):  
Software Development ◽  
Knowledge Sharing ◽  
Project Performance ◽  
Viable Alternative ◽  
Development Projects ◽  
Relational Capital ◽  
Software Companies ◽  
Development Costs ◽  
Labor Resources ◽  
The Impact

Offshoring has become a viable alternative for companies to lower software development costs and leverage labor resources worldwide. To achieve success in offshoring software development projects, a vendor must choose appropriate development methodologies. This study aims to examine how methodology fit affects offshoring project performance. It proposes that methodology fit affects project performance through interfirm knowledge sharing between vendors and clients. In addition, the impact of methodology fit on knowledge sharing is dependent on relational capital between vendors and clients. A survey was conducted among software companies in China that provide offshoring services. 108 completed questionnaires were collected. The results confirm this article's hypotheses.

scholarly journals Bionitio: demonstrating and facilitating best practices for bioinformatics command-line software

GigaScience ◽  
2019 ◽  
Vol 8 (9) ◽  
Author(s):  
Peter Georgeson ◽  
Anna Syme ◽  
Clare Sloggett ◽  
Jessica Chung ◽  
Harriet Dashnow ◽  
...  
Keyword(s):  
Best Practices ◽  
Software Development ◽  
Open Source ◽  
Open Source Software ◽  
Command Line ◽  
Use Of Resources ◽  
Excellent Starting Point ◽  
Starting Point ◽  
Bioinformatics Software ◽  
Programming Practices

Abstract Background Bioinformatics software tools are often created ad hoc, frequently by people without extensive training in software development. In particular, for beginners, the barrier to entry in bioinformatics software development is high, especially if they want to adopt good programming practices. Even experienced developers do not always follow best practices. This results in the proliferation of poorer-quality bioinformatics software, leading to limited scalability and inefficient use of resources; lack of reproducibility, usability, adaptability, and interoperability; and erroneous or inaccurate results. Findings We have developed Bionitio, a tool that automates the process of starting new bioinformatics software projects following recommended best practices. With a single command, the user can create a new well-structured project in 1 of 12 programming languages. The resulting software is functional, carrying out a prototypical bioinformatics task, and thus serves as both a working example and a template for building new tools. Key features include command-line argument parsing, error handling, progress logging, defined exit status values, a test suite, a version number, standardized building and packaging, user documentation, code documentation, a standard open source software license, software revision control, and containerization. Conclusions Bionitio serves as a learning aid for beginner-to-intermediate bioinformatics programmers and provides an excellent starting point for new projects. This helps developers adopt good programming practices from the beginning of a project and encourages high-quality tools to be developed more rapidly. This also benefits users because tools are more easily installed and consistent in their usage. Bionitio is released as open source software under the MIT License and is available at https://github.com/bionitio-team/bionitio.

Comparison and Assessment of Different Image Registration Algorithms Based on ITK

2013 ◽  
Vol 442 ◽  
pp. 515-519
Author(s):  
Zhen Huan Zhou
Keyword(s):  
Image Analysis ◽  
Software Engineering ◽  
Image Registration ◽  
Software Development ◽  
Experimental Results ◽  
The Other ◽  
Moving Image ◽  
Development Costs

A lot of image registration algorithms are proposed in recent year, among these algorithms, which one is better or faster than the other can be only validated by experiments. In this paper, ITK (Insight Segmentation and Registration Toolkit) is used for verifying different algorithms as a framework. ITK framework requires the following components: a fixed image, a moving image, a transform, a metric, an interpolator and an optimizer. Dozens of classical algorithms are tested under the same conditions and their experimental results are demonstrated with different metrics, interpolators or optimizers. By comparison of registration time and accuracy, those practical and useful algorithms are selected for developing software in image analysis. These kinds of experiments are very valuable for software engineering, they can shorten the cycle of software development and greatly reduce the development costs.

scholarly journals The Capitalisation of Intangibles Debate: Software Development Costs

2021 ◽  
Author(s):  
Dionysia Dionysiou ◽  
Richard Slack ◽  
Yannis Tsalavoutas ◽  
Fanis Tsoligkas
Keyword(s):  
Software Development ◽  
Development Costs

scholarly journals Accounting For Software Expenditures

1999 ◽  
Vol 3 (3) ◽  
pp. 33-46
Author(s):  
Linda R. Garceau ◽  
Randall Luecke ◽  
David Meeting
Keyword(s):  
Software Development ◽  
Accounting Standards ◽  
Financial Accounting ◽  
Certified Public Accountants ◽  
Financial Accounting Standards Board ◽  
American Institute ◽  
Development Costs ◽  
Appropriate Treatment ◽  
Public Accountants

The Financial Accounting Standards Board and the American Institute of Certified Public Accountants have wrestled with the issue of the appropriate treatment for software development costs for many years. This article summarizes the professional pronouncements of the last 25 years that address this issue, identifying the business cir-cumstances when such costs should be capitalized and when they should be expensed.

Activity Driven Budgeting of Software Projects

2010 ◽  
Vol 1 (4) ◽  
pp. 14-30 ◽  
Author(s):  
Alexander Baumeister ◽  
Markus Ilg
Keyword(s):  
Software Development ◽  
Development Projects ◽  
Software Projects ◽  
Accounting Systems ◽  
Specific Cost ◽  
Management Accounting Systems ◽  
Development Costs ◽  
Forecast Models ◽  
Cost Forecasting ◽  
And Control

There are numerous forecast models of software development costs, however, various problems become apparent in context to practical application. Standardized methods, such as COCOMO II have to be calibrated at an individual operational level on the basis of the underlying database. This paper presents a new activity based approach that is based on business specific cost data that can be easily integrated into existing management accounting systems. This approach can be applied to software development projects based on the unified process in which activity driven budgeting promises several advantages compared to common tools in use. It supports enterprise specific cost forecasting and control and can be easily linked with risk analysis. In addition to the presentation of a conceptual design model, the authors present a framework for activity driven budgeting and cost management of software development projects combined with concrete implementation examples.

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