scholarly journals Managing risk: methods for software systems development. Elaine M. Hall. Published by Addison Wesley Longman, Harlow, Essex, U.K., SEI Series in Software Engineering, 1998. ISBN: 0-201-25592-8, 374 pages. Price: U.K. £31.95, Hard Cover.

1998 ◽  
Vol 8 (4) ◽  
pp. 213-214 ◽  
Author(s):  
Felix Redmill
Keyword(s):  
Software Engineering ◽  
Systems Development ◽  
Software Systems ◽  
Managing Risk ◽  
Hard Cover

Computational Statistics of Data Science for Secured Software Engineering

2021 ◽  
pp. 81-96
Author(s):  
Raghavendra Rao Althar ◽  
Debabrata Samanta
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Language Processing ◽  
Data Science ◽  
Systems Development ◽  
Data Sources ◽  
Software Systems ◽  
Computational Statistics ◽  
Critical Dimensions ◽  
Work Done

The chapter focuses on exploring the work done for applying data science for software engineering, focusing on secured software systems development. With requirements management being the first stage of the life cycle, all the approaches that can help security mindset right at the beginning are explored. By exploring the work done in this area, various key themes of security and its data sources are explored, which will mark the setup of base for advanced exploration of the better approaches to make software systems mature. Based on the assessments of some of the work done in this area, possible prospects are explored. This exploration also helps to emphasize the key challenges that are causing trouble for the software development community. The work also explores the possible collaboration across machine learning, deep learning, and natural language processing approaches. The work helps to throw light on critical dimensions of software development where security plays a key role.

INTEGRATED SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING TEACHING EXPERIENCES

2000 ◽  
Vol 10 (03) ◽  
pp. 275-300
Author(s):  
O. DIESTE ◽  
N. JURISTO ◽  
A. M. MORENO ◽  
M. LOPEZ
Keyword(s):  
Software Engineering ◽  
Development Process ◽  
Knowledge Engineering ◽  
Continuous Process ◽  
Systems Development ◽  
Software Systems ◽  
Integrated Instruction ◽  
Integrated Software ◽  
Software Practitioners ◽  
Current Stage

This paper presents the motivations, experiences and results of teaching integrated Software Engineering (SE) and Knowledge Engineering (KE), specifically as part of the master course organized by the Polytechnic University of Madrid (School of Computer Science). The paper outlines a possible approach to this instruction, whose aim is for software practitioners thus educated to have a flexible and moldable view of the software systems development process. This broad and malleable approach allows future practitioners to better address the increasingly more complex, divergent and innovative problems and needs raised by users. This approach is the result of a gradual and continuous process. This paper discusses the current stage of integration, giving a detailed description and justification of the scope of the integrated instruction. For the purpose of quantitatively analyzing this experience, the paper also shows the results of the evaluation conducted throughout this process at three levels (industry, students and projects).

scholarly journals Synthesis of Code Anomalies: Revealing Design Problems in the Source Code

2020 ◽  
Author(s):  
Willian N. Oizumi ◽  
Alessandro F. Garcia
Keyword(s):  
Software Engineering ◽  
Source Code ◽  
New Technique ◽  
Software Systems ◽  
Identification Task ◽  
Software Projects ◽  
Design Problems ◽  
Engineering Community ◽  
Synthesis Technique ◽  
A New Technique

Design problems affect most software projects and make their maintenance expensive and impeditive. Thus, the identification of potential design problems in the source code – which is very often the only available and upto-date artifact in a project – becomes essential in long-living software systems. This identification task is challenging as the reification of design problems in the source code tend to be scattered through several code elements. However, stateof-the-art techniques do not provide enough information to effectively help developers in this task. In this work, we address this challenge by proposing a new technique to support developers in revealing design problems. This technique synthesizes information about potential design problems, which are materialized in the implementation under the form of syntactic and semantic anomaly agglomerations. Our evaluation shows that the proposed synthesis technique helps to reveal more than 1200 design problems across 7 industry-strength systems, with a median precision of 71% and a median recall of 78%. The relevance of our work has been widely recognized by the software engineering community through 2 awards and 7 publications in international and national venues.

scholarly journals RESEARCH TRENDS IN SOFTWARE ENGINEERING FIELD: A LITERATURE REVIEW

2020 ◽  
Vol 7 (6) ◽  
pp. 58-65
Author(s):  
Hiba Al Sghaier
Keyword(s):  
Software Engineering ◽  
Programming Languages ◽  
New Technologies ◽  
Research Trends ◽  
Mobile Technologies ◽  
Smart Devices ◽  
Software Systems ◽  
Current Time ◽  
Develop Software ◽  
Software Engineers

Software engineering is one of computer science branches, it comprises of building and developing software systems and applications. Software engineering is a discipline that has a constant growth in research in aim to identify new technologies and adopt it in different areas; there is a considerable investment on software engineering trends at the current time due to the availability of mobile technologies. With millions of billions of smart devices that are connected to the internet, all industries around the world are rapidly becoming a technology driven industries. Software engineers are aware of programming languages that are employed to develop software systems, by applying engineering principles to development process; they can design customized software systems for individual or organizational customers. The new trends in software engineering are numerous, Cloud Computing, machine learning, deep learning, big Data, mobile Computing. Nevertheless, there are many more other research trends in software engineering's field that have been intensively explored and implemented in many different industries. In this paper, authors try to summarize the most fields that are integrated with software engineering recently.

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