scholarly journals Predictive Software Engineering: Transform Custom Software Development into Effective Business Solutions

2022 ◽  
Vol 05 (01) ◽  
Author(s):  
Boris Kontsevoi ◽  
Keyword(s):  
Software Engineering ◽  
Quality Management ◽  
Software Development ◽  
Human Development ◽  
Distributed Teams ◽  
Technical Debt ◽  
Customer Care ◽  
Custom Software ◽  
End To End ◽  
Predictive Software

The paper examines the principles of the Predictive Software Engineering (PSE) framework. The authors examine how PSE enables custom software development companies to offer transparent services and products while staying within the intended budget and a guaranteed budget. The paper will cover all 7 principles of PSE: (1) Meaningful Customer Care, (2) Transparent End-to-End Control, (3) Proven Productivity, (4) Efficient Distributed Teams, (5) Disciplined Agile Delivery Process, (6) Measurable Quality Management and Technical Debt Reduction, and (7) Sound Human Development.

THE APPLICATION OF MODERN SOFTWARE ENGINEERING PRACTICES TO CONTROL ENGINEERING

2003 ◽  
Vol 02 (01) ◽  
pp. 127-141 ◽  
Author(s):  
BRAIN A. BERENBACH ◽  
PETER R. SPOOL ◽  
DIETER BITTERLE
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Cost Reduction ◽  
Maturity Model ◽  
Development Environment ◽  
Control Engineering ◽  
Capability Maturity ◽  
Custom Software ◽  
Engineering Practices

Over the years, control systems have become increasingly dependent on custom software. As hardware has gotten cheaper, attention has focused on improving the processes associated with developing control system software by using approaches such as the Software Engineering Institute's Capability Maturity Model (CMM),1,2 and enabling reuse and long term cost reduction with component-based software development. This paper discusses the application of the CMM to the software process used in control engineering and the use of component based software development. We also discuss some advanced features of the Siemens SIMATIC STEP 7 Universal Development Environment that provides the tools to plan, configure, evelop, test, troubleshoot, document and support not only PLC programs, but also entire auto, ation projects. STEP 7 also enables and support process improvement and component-based software development.

THE QUALITY OF HOTEL PERFORMANCE (The Effectiveness and Efficiency)

1999 ◽  
Vol 5 (1-2) ◽  
pp. 145-160
Author(s):  
Ivanka Avelini Holjevac ◽  
Ana Marija Vrtodušić
Keyword(s):  
Quality Management ◽  
Service Quality ◽  
Hospitality Industry ◽  
Management Systems ◽  
Business Success ◽  
Quality Management Systems ◽  
Customer Care ◽  
Hotel Performance ◽  
Effectiveness And Efficiency

Service quality has been a major preoccupation of the hospitality industry throughout the 1980s and the early 1990s. Quality management systems have been clearly identified as a means of increasing the professionalism and social competence of staff, while developments such as customer care programs and quality teams have produced notable improvements in the effectiveness and efficiency. Starting from the main economic goal of making profit in each enterprise, it is necessary to measure and to evaluate effectiveness and efficiency. The aim of this paper is to emphasize the importance and necessity of measuring two aspects of the quality of business success: effectiveness (hotel market success) and efficiency (hotel economy). The paper defines effectiveness and efficiency as well as key ratios for measuring and evaluating those two aspects of quality of business success.

An Analysis of Process Characteristics for Developing Scientific Software

2011 ◽  
Vol 23 (4) ◽  
pp. 64-79 ◽  
Author(s):  
Diane Kelly
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Professional Training ◽  
Scientific Software ◽  
Development Environment ◽  
Engineering Development ◽  
Development Processes ◽  
Agile Software ◽  
Development Methods ◽  
Software Development Methods

The development of scientific software is usually carried out by a scientist who has little professional training as a software developer. Concerns exist that such development produces low-quality products, leading to low-quality science. These concerns have led to recommendations and the imposition of software engineering development processes and standards on the scientists. This paper utilizes different frameworks to investigate and map characteristics of the scientific software development environment to the assumptions made in plan-driven software development methods and agile software development methods. This mapping exposes a mismatch between the needs and goals of scientific software development and the assumptions and goals of well-known software engineering development processes.

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