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12 Papers

Critical Success Factors and Barriers for Lightweight Software Process Improvement in Agile Development - A Literature Review

Topics: Project Planning, Monitoring and Control; Agile Methodologies; Quality Control and Assurance

Authors: Elia Kouzari 1 , Vassilis C. Gerogiannis 2 , Ioannis Stamelos 1 and George Kakarontzas 3

Affiliations: 1 Aristotle University of Thessaloniki, Greece , 2 Technological Education Institute of Thessaly, Greece , 3 Technological Educational Institute of Thessaly, Greece

Digital Object Identifier: 10.5220/0005555401510159

Proceedings of ICSOFT-EA 2015/ICSOFT, ISBN: 978-989-758-114-4

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The majority of software development companies are significantly benefitted by adopting software process improvement (SPI). This has been extensively addressed both in terms of research and established standards. In particular, the need for SPI in the context of Small and Medium-sized Enterprises (SMEs) led a lot of researchers to focus on this area. SMEs struggle daily to survive in a very competitive environment and their distinguishing characteristics such as the small number of employees, the flat and small organizational structure and the flexibility that governs them make it hard for them to adopt and implement SPI. On the same spirit, their distinguishing characteristics are also those that make SMEs an ideal environment for the adoption of agile methodologies. The agility that governs SMEs allows flexibility in every process they apply and, thus, promotes lightweight SPI approaches in order to remain on the battle fields of competition. In this article, we examine the special characteristics SMEs have and highlight critical success factors that should be taken advantage of and barriers that could be avoided during SPI, as they are presented in the relevant literature. In addition, we examine how critical success factors of SPI could positively affect a firm’s Return on Investment and, consequently, help the firm survive in the long-term.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
Agile Methodologies

Information Systems Analysis and Specification

Software Engineering

Enterprise Information Systems

Project Planning, Monitoring and Control

Software Project Management

A Conceptual Enterprise Architecture Framework for Smart Cities - A Survey Based Approach

Topics: Business-It Alignment; Urban/Regional Planning/Development

Authors: George Kakarontzas 1 , Leonidas Anthopoulos 1 , Despoina Chatzakou 2 and Athena Vakali 2

Affiliations: 1 TEI of Thessaly, Greece , 2 Aristotle University of Thessaloniki, Greece

Digital Object Identifier: 10.5220/0005021400470054

Proceedings of ICE-B 2014/ICETE, ISBN: 978-989-758-043-7

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Enterprise architecture for smart cities is the focus of the research project “EADIC - (Developing an Enterprise Architecture for Digital Cities)” which is the context of the reported results in this work. We report in detail the results of a survey we contacted. Using these results we identify important quality and functional requirements for smart cities. Important quality properties include interoperability, usability, security, availability, recoverability and maintainability. We also observe business-related issues such as an apparent uncertainty on who is selling services, the lack of business plan in most cases and uncertainty in commercialization of services. At the software architecture domain we present a conceptual architectural framework based on architectural patterns which address the identified quality requirements. The conceptual framework can be used as a starting point for actual smart cities’ projects.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
Applications

e-Business

Enterprise Information Systems

Business-It Alignment

Enterprise Engineering

Urban/Regional Planning/Development

Ontology based Bayesian Software Process Improvenent

Topics: Scheduling and Estimating; Project Planning, Monitoring and Control

Authors: Stamatia Bibi 1 , Vassilis Gerogiannis 2 , George Kakarontzas 3 and Ioannis Stamelos 1

Affiliations: 1 Aristotle University of Thessaloniki, Greece , 2 Technological Education Institute of Thessaly, Greece , 3 Technological Educational Institute Of Thessaly, Greece

Digital Object Identifier: 10.5220/0005001505680575

Proceedings of ICSOFT-EA 2014/ICSOFT, ISBN: 978-989-758-036-9

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This paper presents an ontology based approach that can support small and medium-sized software enterprises (SMEs) to achieve their software process improvement goals. The approach consists of four steps: i) assessment of the software process and identification of areas under improvement, ii) development of a process knowledge base, iii) conceptualization and analysis of an ontology that represents the process domain, iv) Bayesian analysis on the ontology, experimentation and suggestions for process improvement. The main concept of the approach is presented through a generic software process ontology model. To validate the approach parts of this model was instantiated using company specific process data from a telecommunication SME. The resulted process models are further analysed through applying Bayesian analysis.
Collapse Button Related Ontology Subjects/Areas/Topics (4)
Project Planning, Monitoring and Control

Software Engineering

Software Project Management
Scheduling and Estimating

MODELING OF ABRASIVE WATER JET MACHINING USING TAGUCHI METHOD AND ARTIFICIAL NEURAL NETWORKS

Topic: Industrial, Financial and Medical Applications

Authors: Menelaos Pappas 1 , Ioannis Ntziantzias 2 , John Kechagias 3 and Nikolaos Vaxevanidis 4

Affiliations: 1 Technological Educational Institute of Larissa, Greece , 2 University of Thessaly, Greece , 3 Technological Educational Institute of Larissa and University of Thessaly, Greece , 4 University of Thessaly and School of Pedagogical and Technological Education (ASPETE), Greece

Digital Object Identifier: 10.5220/0003681103770380

Proceedings of NCTA 2011/IJCCI, ISBN: 978-989-8425-84-3

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This work presents a hybrid approach based on the Taguchi method and the Artificial Neural Networks (ANNs) for the modeling of surface quality characteristics in Abrasive Water Jet Machining (AWJM). The selected inputs of the ANN model are the thickness of steel sheet, the nozzle diameter, the stand-off distance and the traverse speed. The outputs of the ANN model are the surface quality characteristics, namely the kerf geometry and the surface roughness. The data used to train the ANN model was selected according to the Taguchi’s design of experiments. The acquired results indicate that the proposed modelling approach could be effectively used to predict the kerf geometry and the surface roughness in AWJM, thus supporting the decision making during process planning.
Collapse Button Related Ontology Subjects/Areas/Topics (20)
Artificial Intelligence

Health Engineering and Technology Applications

Pattern Recognition

Biomedical Engineering

Human-Computer Interaction

Physiological Computing Systems

Biomedical Signal Processing

Industrial, Financial and Medical Applications

Sensor Networks

Computational Intelligence

Methodologies and Methods

Signal Processing

Computer-Supported Education

Neural Networks

Soft Computing

Domain Applications and Case Studies

Neurocomputing

Theory and Methods
Fuzzy Systems

Neurotechnology, Electronics and Informatics

SURFACE ROUGHNESS MODELLING AND OPTIMIZATION IN CNC END MILLING USING TAGUCHI DESIGN AND NEURAL NETWORKS

Topic: Neural Networks

Authors: Menelaos Pappas 1 , John Kechagias 1 , Vassilis Iakovakis 1 and Stergios Maropoulos 2

Affiliations: 1 Technological Educational Institute of Larissa, Greece , 2 Technological Educational Institute of Western Macedonia, Greece

Digital Object Identifier: 10.5220/0003180505950598

Proceedings of ICAART 2011, ISBN: 978-989-8425-40-9

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A Neural Network modelling approach is presented for the prediction of surface texture parameters during end milling of aluminium alloy 5083. Eighteen carbide end mill cutters were manufactured by a five axis grinding machine and assigned to mill eighteen pockets having different combinations of geometry parameters and cutting parameter values, according to the L18 (21x37) standard orthogonal array. A feed-forward back-propagation NN was developed using data obtained from experimental work conducted on a CNC milling machine center according to the principles of Taguchi’s design of experiments method. It was found that NN approach can be applied easily on designed experiments and predictions can be achieved, fast and quite accurately.
Collapse Button Related Ontology Subjects/Areas/Topics (16)
Artificial Intelligence

Methodologies and Methods

Physiological Computing Systems

Biomedical Engineering

Neural Networks

Sensor Networks

Biomedical Signal Processing

Neurocomputing

Signal Processing

Computational Intelligence

Neurotechnology, Electronics and Informatics

Soft Computing

Health Engineering and Technology Applications

Pattern Recognition

Theory and Methods
Human-Computer Interaction

PREDICTION OF SURFACE ROUGHNESS IN TURNING USING ORTHOGONAL MATRIX EXPERIMENT AND NEURAL NETWORKS

Topic: Industrial Applications of AI

Authors: John Kechagias 1 , Vassilis Iakovakis 1 , George Petropoulos 2 , Stergios Maropoulos 3 and Stefanos Karagiannis 3

Affiliations: 1 Technological Educational Institute of Larissa, Greece , 2 University of Thessaly, Greece , 3 Technological Educational Institute of West Macedonia, Greece

Digital Object Identifier: 10.5220/0002588301450150

Proceedings of ICAART 2010, ISBN: 978-989-674-021-4

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A neural network modeling approach is presented for the prediction of surface texture parameters during turning of a copper alloy (GC-CuSn12). Test specimens in the form of near-to-net-shape bars and a titanium nitride coated cemented carbide (T30) cutting tool were used. The independent variables considered were the cutting speed, feed rate, cutting depth and tool nose radius. The corresponding surface texture parameters that have been studied are the Ra, Rq, and Rt. A feed forward back propagation neural network was developed using experimental data which were conducted on a CNC lathe according to the principles of Taguchi design of experiments method. It was found that NN approach can be applied in an easy way on designed experiments and predictions can be achieved, fast and quite accurate. The developed NN is constrained by the experimental region in which the designed experiment is conducted. Thus, it is very important to select parameters’ levels as well as the limits of the experimental region and the structure of the orthogonal experiment. This methodology could be easily applied to different materials and initial conditions for optimization of other manufacturing processes.
Collapse Button Related Ontology Subjects/Areas/Topics (3)
Artificial Intelligence

Industrial Applications of AI

Soft Computing

TRAINING IN PROFILING, NEGOTIATION AND CRISIS MANAGEMENT - Using an Immersive and Adaptive Environment

Topics: Virtual Learning Environments; Immersive Learning; Collaborative Learning; Lifelong Learning: Continuing Professional Training & Development; Interdisciplinary Programs for Distance Education

Authors: Leonidas Anthopoulos 1 , Vasilis Gerogiannis 1 , Panos Fitsilis 1 and Achilles Kameas 2

Affiliations: 1 Technological Educational Institute (TEI) of Larissa, Greece , 2 Hellenic Open University, Greece

Digital Object Identifier: 10.5220/0002859803470352

Proceedings of CSEDU 2010, ISBN: 978-989-674-023-8

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The aim of the proposed position paper is to identify an information system that can support the lifelong training of various types of demanding learners who have to transact and to do business with “unknown” people, in unfamiliar environments. Three types of learners are chosen as potential groups that comply with these characteristics: a) diplomatic staff, b) security staff and c) business experts (who work for multilateral companies). An environment that will provide engaging and motivating educational experiences to these learner targets is useful for these target groups, since it (a) utilizes a rich knowledge base of appropriately coded experience in negotiation methods, crisis management, decision making and legal affairs, (b) employs immersive interfaces to provide trainees with a first person learning experience, (c) takes into account the personal profile and background of each trainee in order to achieve deep learning, (d) is based on the pedagogical principles of socio-constructivist theories to achieve long-time knowledge retention, (e) incorporates methods of information retrieval for automatic profile extraction and (g) utilizes social networking analysis for automatic team creation. The presented system can be built by exploiting recent relevant research on knowledge representation, learner modelling, adaptive hypermedia systems, immersive applications, text mining and automatic profile extraction, and social networking technology.
Collapse Button Related Ontology Subjects/Areas/Topics (11)
Collaborative Learning

Immersive Learning

Lifelong Learning: Continuing Professional Training & Development

Computer-Supported Education

Information Technologies Supporting Learning

Social Context and Learning Environments

Domain Applications and Case Studies

Interdisciplinary Programs for Distance Education

Virtual Learning Environments
e-Learning

Learning/Teaching Methodologies and Assessment

EVALUATING SCHEDULES OF ITERATIVE/INCREMENTAL SOFTWARE PROJECTS FROM A REAL OPTIONS PERSPECTIVE

Topics: Information Systems Development; Management Information Systems

Authors: Vassilis C. Gerogiannis 1 , Androklis Mavridis 2 , Pandelis G. Ipsilandis 1 and Ioannis Stamelos 2

Affiliations: 1 Technological Education Institute of Larissa, Greece , 2 Aristotle University of Thessaloniki, Greece

Digital Object Identifier: 10.5220/0001894502240233

Proceedings of ICSOFT 2008, ISBN: 978-989-8111-53-1

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In an iterative/incremental software project, software is built in a sequence of iterations with each of them providing certain parts of the required functionality. To better manage an incremental delivery plan, iterations are usually performed during pre-specified time boxes. In a previous work, we addressed the problem of optimizing the schedule of incremental software projects which follow an iterative, timeboxing process model (TB projects). We approached scheduling as a multi criteria decision problem that can be formulated by a linear programming model aimed to overcome some “rigid” simplifications of conventional timeboxing, where durations of time boxes and stages are equal and a priori fixed. In this paper, we move this decision making process one step forward by applying real options theory to analyze the investment risks associated with each alternative scheduling decision. We identify two options in a TB project. The first is to stall (abandon) the development at a pre-defined iteration, while the second is to continue (expand) development and deliver the full functionality. Thus, we provide the manager the flexibility to decide the most profitable (valued) combination of delivered functionalities, at a certain iteration, under favourable or unfavourable conditions.
Collapse Button Related Ontology Subjects/Areas/Topics (4)
Engineering Information System

Information Systems Analysis and Specification

Management Information Systems
Enterprise Information Systems

HYDROGEN POWERED CAR CONTROL SYSTEM

Topic: Vehicle Control Applications

Authors: Srovnal Vilem 1 , Koziorek Jiri 1 , Horak Bohumil 1 , Adam George 2 and Garani Georgia 2

Affiliations: 1 Technical University of Ostrava, Czech Republic , 2 Technological Educational Institute of Larissa, Greece

Digital Object Identifier: 10.5220/0001485900620066

Proceedings of ICINCO 2008, ISBN: 978-989-8111-31-9

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The main goal of the research project was designing and realization a distributed control system of the hydrogen powered prototype car. Next goals of project were real time control, speed and final time optimizing with minimal fuel consumption and monitoring of driver biomedical parameters. The control system was realized by several mobile embedded systems and one central system. The embedded systems hardware was realized with Freescale processors and communication CAN bus. Central system hardware was realized by notebook and communication with embedded systems in car was realized by GSM communication. Control system software using of multi-agent technology with dynamic mutual negotiation of mobile system parts. This task allows in a form of control system for prototype race car modelling of distributed control system. The real hardware and software model is also important motivation for extended research.
Collapse Button Related Ontology Subjects/Areas/Topics (3)
Informatics in Control, Automation and Robotics

Robotics and Automation

Vehicle Control Applications

MULTI OBJECTIVE ANALYSIS FOR TIMEBOXING MODELS OF SOFTWARE DEVELOPMENT

Topics: Information Systems Development; Software Economics

Authors: Vassilis C. Gerogiannis and Pandelis G. Ipsilandis

Affiliation: Technological Education Institute of Larissa, Greece

Digital Object Identifier: 10.5220/0001341501450153

Proceedings of ICSOFT 2007, ISBN: 978-989-8111-07-4

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In iterative/incremental software development, software deliverables are built in iterations - each iteration providing parts of the required software functionality. To better manage and monitor resources, plan and deliverables, iterations are usually performed during specific time periods, so called “time boxes”. Each time box is further divided into a sequence of stages and a dedicated development team is assigned to each stage. Iterations can be performed in parallel to reduce the project completion time by exploiting a “pipelining” concept, that is, when a team completes the tasks of a stage, it hands over the intermediate deliverables to the team executing the next stage and then starts executing the same stage in the next iteration. In this paper, we address the problem of optimizing the schedule of a software project that follows an iterative, timeboxing process model. A multi objective linear programming technique is introduced to consider multiple parameters, such as the project duration, the work discontinuities of development teams in successive iterations and the release (delivery) time of software deliverables. The proposed model can be used to generate alternative project plans based on the relative importance of these parameters.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
Engineering Information System

Enterprise Software Technologies

Software Economics

Enterprise Information Systems

Information Systems Analysis and Specification

Software Engineering

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