The Current State of Software Engineering Masters Degree Programs

2008 ◽  
Author(s):  
Arthur Pyster ◽  
Richard Turner ◽  
Devanandam Henry ◽  
Kahina Lasfer ◽  
Lawrence Bernstein ◽  
...  
Keyword(s):  
Software Engineering ◽  
Degree Programs ◽  
Current State ◽  
Masters Degree

Rationale and Design Considerations for a Semantic Mediator in Health Information Systems

1998 ◽  
Vol 37 (04/05) ◽  
pp. 518-526 ◽  
Author(s):  
D. Sauquet ◽  
M.-C. Jaulent ◽  
E. Zapletal ◽  
M. Lavril ◽  
P. Degoulet
Keyword(s):  
Information Systems ◽  
Software Engineering ◽  
Health Information ◽  
Rapid Development ◽  
Heterogeneous Systems ◽  
Health Information Systems ◽  
Semantic Interoperability ◽  
Point Of View ◽  
Current State ◽  
Engineering Environment

AbstractRapid development of community health information networks raises the issue of semantic interoperability between distributed and heterogeneous systems. Indeed, operational health information systems originate from heterogeneous teams of independent developers and have to cooperate in order to exchange data and services. A good cooperation is based on a good understanding of the messages exchanged between the systems. The main issue of semantic interoperability is to ensure that the exchange is not only possible but also meaningful. The main objective of this paper is to analyze semantic interoperability from a software engineering point of view. It describes the principles for the design of a semantic mediator (SM) in the framework of a distributed object manager (DOM). The mediator is itself a component that should allow the exchange of messages independently of languages and platforms. The functional architecture of such a SM is detailed. These principles have been partly applied in the context of the HEllOS object-oriented software engineering environment. The resulting service components are presented with their current state of achievement.

scholarly journals A Draft Reference Curriculum For A Masters Degree In Software Engineering: A Joint Industry, Academic And Government Initiative

2020 ◽  
Author(s):  
Arthur Pyster ◽  
Devanandham Henry ◽  
Richard Turner ◽  
Kahina Lasfer ◽  
Lawrence Bernstein ◽  
...  
Keyword(s):  
Software Engineering ◽  
Government Initiative ◽  
Masters Degree

SUPPORTING DECISION-MAKING IN SOFTWARE ENGINEERING WITH PROCESS SIMULATION AND EMPIRICAL STUDIES

2003 ◽  
Vol 13 (05) ◽  
pp. 531-545 ◽  
Author(s):  
IOANA RUS ◽  
MICHAEL HALLING ◽  
STEFAN BIFFL
Keyword(s):  
Decision Making ◽  
Quality Assurance ◽  
Software Engineering ◽  
Process Simulation ◽  
Empirical Studies ◽  
Empirical Knowledge ◽  
Simulation Techniques ◽  
Current State ◽  
Parameter Variations ◽  
Support Decision Making

Decision-making is a complex and important task in software engineering. The current state-of-the-practice is rather non-systematic as it typically relies upon personal judgment and experience without using explicit models. Empirical studies can help but they are costly to conduct and, to some extent, context dependent. Typically it is not efficient or even possible to conduct empirical studies for a large number of context parameter variations. Process simulation offers decision support as well, but currently suffers from a lack of empirical knowledge on the determinants of underlying system dynamics. In this paper we present an assessment of empirical knowledge and simulation techniques for the area of quality assurance planning. There is a strong interdependency between process simulation and empirical models for decision-making in this area: (a) profound empirical knowledge enables process simulation to support decision-making, and (b) the analysis of simulation results can point out situations and factors for which conducting empirical studies would be most worthwhile. This paper discusses critically some of the most important challenges for decision-making in the area of quality assurance planning.

INTERACTION-ORIENTED SOFTWARE DEVELOPMENT

2001 ◽  
Vol 11 (03) ◽  
pp. 259-279 ◽  
Author(s):  
MICHAEL N. HUHNS
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Software Components ◽  
New Approach ◽  
Reusable Software ◽  
Current State ◽  
Computational Paradigm ◽  
And Behavior

This paper describes a new approach to the production of robust software. We first motivate the approach by explaining why the two major goals of software engineering — correct software and reusable software — are not being addressed by the current state of software practice. We then describe a methodology based on active, cooperative, and persistent software components, i.e., agents, and show how the methodology produces robust and reusable software. We derive requirements for the structure and behavior of the agents, and report on preliminary experiments on applications based on the methodology. We conclude with a roadmap for development of the methodology and ruminations about uses for the new computational paradigm.

scholarly journals Milestones in Software Engineering and Knowledge Engineering History: A Comparative Review

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Isabel M. del Águila ◽  
José Palma ◽  
Samuel Túnez
Keyword(s):  
Software Engineering ◽  
Knowledge Engineering ◽  
Lessons Learned ◽  
Historical Evolution ◽  
The Past ◽  
Current State ◽  
Comparative Review ◽  
History Of ◽  
Positive Experiences ◽  
Software Development Methodologies

We present a review of the historical evolution of software engineering, intertwining it with the history of knowledge engineering because “those who cannot remember the past are condemned to repeat it.” This retrospective represents a further step forward to understanding the current state of both types of engineerings; history has also positive experiences; some of them we would like to remember and to repeat. Two types of engineerings had parallel and divergent evolutions but following a similar pattern. We also define a set of milestones that represent a convergence or divergence of the software development methodologies. These milestones do not appear at the same time in software engineering and knowledge engineering, so lessons learned in one discipline can help in the evolution of the other one.

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