A PROCESS MODEL APPLICABLE TO SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING

1999 ◽  
Vol 09 (05) ◽  
pp. 663-687 ◽  
Author(s):  
SILVIA T. ACUÑA ◽  
MARTA LOPEZ ◽  
NATALIA JURISTO ◽  
ANA MORENO
Keyword(s):  
Software Engineering ◽  
Process Model ◽  
Knowledge Engineering ◽  
Software Process ◽  
Process Models ◽  
Software Systems ◽  
Conceptual Tool ◽  
Knowledge Based ◽  
Develop Software ◽  
Conventional Systems

Software engineering (SE) and knowledge engineering (KE) develop software systems using different construction process models. Because of the growing complexity of the problems to be solved by computers, the conventional systems (CS) and knowledge-based systems (KBS) software process is at present passing through a period of integration. In this paper, we propose a software process model applicable to both CS and KBS. The model designed is declarative, that is, it indicates what is done to build a software system. Its goal is to provide software and knowledge engineers with a techno-conceptual tool to develop systems comprising both traditional and knowledge-based software.

The Incremental Commitment Spiral Model for Service-Intensive Projects

2013 ◽  
pp. 94-115
Author(s):  
Supannika Koolmanojwong ◽  
Barry Boehm ◽  
Jo Ann Lane
Keyword(s):  
Web Services ◽  
Process Model ◽  
Software Process ◽  
Business Environment ◽  
Process Models ◽  
Software Systems ◽  
Generation Process ◽  
Software Process Models ◽  
Commercial Off The Shelf ◽  
Spiral Model

To provide better service to customers and remain competitive in the business environment, a wide variety of ready-to-use software and technologies are available for one to “grab and go” in order to build up software systems at a rapid pace. Currently, a wide variety of Web services are available and ready to use for this purpose. Current software process models also support commercial-off-the-shelf (COTS)-based development processes. However, although COTS and Web Services are similar, they are different in many perspectives. On one hand, there are various software process models that support Web services development. Yet there is no process model that supports the project that uses services provided by others. This chapter introduces the Incremental Commitment Spiral Model (ICSM), a new generation process model that provides development guidelines, from exploring a Web service alternative to deployment and maintenance with case studies.

The Incremental Commitment Spiral Model for Service-Intensive Projects

2014 ◽  
pp. 2142-2162 ◽  
Author(s):  
Supannika Koolmanojwong ◽  
Barry Boehm ◽  
Jo Ann Lane
Keyword(s):  
Web Services ◽  
Process Model ◽  
Software Process ◽  
Business Environment ◽  
Process Models ◽  
Software Systems ◽  
Generation Process ◽  
Software Process Models ◽  
Commercial Off The Shelf ◽  
Spiral Model

To provide better service to customers and remain competitive in the business environment, a wide variety of ready-to-use software and technologies are available for one to “grab and go” in order to build up software systems at a rapid pace. Currently, a wide variety of Web services are available and ready to use for this purpose. Current software process models also support commercial-off-the-shelf (COTS)-based development processes. However, although COTS and Web Services are similar, they are different in many perspectives. On one hand, there are various software process models that support Web services development. Yet there is no process model that supports the project that uses services provided by others. This chapter introduces the Incremental Commitment Spiral Model (ICSM), a new generation process model that provides development guidelines, from exploring a Web service alternative to deployment and maintenance with case studies.

Future Research Directions of Software Engineering and Knowledge Engineering

2015 ◽  
Vol 25 (02) ◽  
pp. 415-421 ◽  
Author(s):  
Haiping Xu
Keyword(s):  
Software Engineering ◽  
Development Process ◽  
Knowledge Engineering ◽  
Future Research ◽  
Software Systems ◽  
Research Directions ◽  
Knowledge Based ◽  
Intelligent Software ◽  
Current Trends ◽  
Future Research Directions

Software Engineering (SE) and Knowledge Engineering (KE) are closely related disciplines with goals of turning the development process of software systems and knowledge-based systems, respectively, into engineering disciplines. In particular, they together can provide systematic approaches for engineering intelligent software systems more efficiently and cost-effectively. As there is a large overlap between the two disciplines, the interplay is vital for both to be successful. In this paper, we divide the intersection of SE and KE into three subareas, namely Knowledge-Supported Software Engineering (KSSE), Engineering Knowledge as a Software (EKaaS), and Intelligent Software System Engineering (ISSE). For each subarea, we describe the challenges along with the current trends, and predict the future research directions that may have the most potential for success.

scholarly journals SOFTWARE PROCESS MODELS : A SURVEY

2020 ◽  
pp. 1-2
Author(s):  
Megha V. Polishwala ◽  
Pravin H. Bhathawala* ◽  
Viral Polishwala
Keyword(s):  
Software Engineering ◽  
Process Model ◽  
Software Process ◽  
Process Models ◽  
Software Product ◽  
Software Process Models ◽  
Paper Review ◽  
Systematic Development ◽  
Large Software

A eld of software engineering which is related to development of software product, needs systematic development for large software. This paper specify study of various process models from which systematic development of large software can be developed. Study of various paper and paper review of software process model is explained.

Modeling Software Development Processes

2010 ◽  
pp. 31-62
Author(s):  
Gerhard Chroust ◽  
Marco Kuhrmann ◽  
Erwin Schoitsch
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Process Model ◽  
Software Process ◽  
Process Models ◽  
Extensive Discussion ◽  
Specific Process ◽  
Human Aspects ◽  
Modeling Software ◽  
Development Processes

In this chapter the authors discuss the WHY and WHAT of modeling software development processes: defining the components of a software process and proposing 5-dimensional grid of attributes of existing models: strategy and path, levels, main subprocesses, components and aura. Specific process models, currently used or historically important, are described. This is followed by an extensive discussion of methods for and problems of modeling a software process, followed by a shorter discussion on the enactment of process models via software engineering environments. The chapter closes with a discussion of the human aspects concerning introduction and enactment of a process model.

scholarly journals SPEM ontology as the semantic notation for method and process definition in the context of SWEBOK

2011 ◽  
Vol 8 (2) ◽  
pp. 299-315 ◽  
Author(s):  
Miroslav Líska ◽  
Pavol Navrat
Keyword(s):  
Software Engineering ◽  
Process Model ◽  
Software Process ◽  
Project Planning ◽  
Process Engineering ◽  
The Body ◽  
Software Project ◽  
Process Definition ◽  
Knowledge Based ◽  
Body Of Knowledge

The Guide to the Software Engineering Body of Knowledge (SWEBOK) provides a consensually validated characterization of the bounds of the software engineering discipline and to provide a topical access to the Body of Knowledge supporting that discipline. The topic ?Notation for Process Definition? references selected notations appropriate for software process definition. However all of them have weakly defined semantics, thus is not possible to use formal techniques for process model creation, validation etc. In this work we present created Software and Systems Process Engineering Meta-Model (SPEM) Ontology that improves the lack of mentioned process notations. The SPEM Ontology constitutes a semantic notation that provides concepts for knowledge based software process engineering. The work also discusses utilization of such semantic notation in other selected SWEBOK topics, the Software Project Planning, the Software Project Enactment, and the Verification and Validation.

PLANNING SUPPORT TO SOFTWARE PROCESS EVOLUTION

2000 ◽  
Vol 10 (01) ◽  
pp. 31-47 ◽  
Author(s):  
REIDAR CONRADI ◽  
MINH NGOC NGUYEN ◽  
ALF INGE WANG ◽  
CHUNNIAN LIU
Keyword(s):  
Software Engineering ◽  
Cost Estimation ◽  
Process Model ◽  
Knowledge Engineering ◽  
Software Process ◽  
Project Planning ◽  
Software Project ◽  
Ai Planning ◽  
Software Projects ◽  
Planning Support

The ability to handle changes is a characteristic feature of successful software projects. The problem addressed in this paper is what should be done in project planning and iterative replanning so that the project can react effectively to changes. Thus the work presents research results in software engineering, as well as transfer of methods in knowledge engineering to software engineering, applying the AI planning technique to software process modeling and software project management. Our method is based on inter-project experience and evolution patterns. We propose a new classification of software projects, identifying and characterizing ten software process evolution patterns and link them to different project profile. Based on the evolution patterns, we discuss the planning support for process evolution and propose several methods that are new or significantly extend existing work, e.g. cost estimation of process changes, evolution pattern analysis, and a coarse process model for the initial planning and the iterative replanning process. The preliminary results have shown that the study of evolution patterns, based on inter-project experience, can provide valuable guidance in software process understanding and improvement.

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.

Supporting Model-Driven Development

2017 ◽  
pp. 396-432
Author(s):  
Rita Suzana Pitangueira Maciel ◽  
Ana Patrícia F. Magalhães Mascarenhas ◽  
Ramon Araújo Gomes ◽  
João Pedro D. B. de Queiroz
Keyword(s):  
Software Engineering ◽  
Process Models ◽  
Software Systems ◽  
Model Driven Development ◽  
Model Driven ◽  
Process Specification ◽  
Process Enactment ◽  
Support Tools ◽  
Important Approach ◽  
Engineering Environment

The adoption of Model-Driven Development (MDD) is increasing and it is widely recognized as an important approach for building software systems. In addition to traditional development process models, an MDD process requires the selection of metamodels and mapping rules for the generation of the transformation chain which produces models and application code. However, existing support tools and transformation engines for MDD do not address different kinds of software process activities, such as application modeling and testing, to guide the developers. Furthermore, they do not enable process modeling nor the (semi) automated execution of activities during process enactment. MoDErNE (Model Driven Process-Centered Software Engineering Environment) uses process-centered software engineering environment concepts to improve MDD process specification and enactment by using a metamodeling foundation. This chapter presents model driven development concept issues and the MoDErNE approach and environment. MoDErNE aims to facilitate MDD process specification and enactment.

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