Distributed Development Environment Research Articles

A COMPONENT-ORIENTED RELIABILITY ASSESSMENT METHOD FOR OPEN SOURCE SOFTWARE

Software development environment has been changing into new development paradigms such as concurrent distributed development environment and the so-called open source project by using network computing technologies. Especially, an OSS (open source software) system which serves as key components of critical infrastructures in the society is still ever-expanding now. In case of considering the effect of the debugging process on an entire system in the development of a method of reliability assessment for the OSS, it is necessary to grasp the deeply-intertwined factors, such as programming path, size of each component, skill of fault reporter, and so on. In order to consider the effect of each software component on the reliability of an entire system, we propose a new approach to user-oriented software reliability assessment by creating a fusion of neural network and software reliability growth modeling. In this paper, we show application examples of component-oriented software reliability assessment based on neural network and software reliability growth modeling for the OSS. Also, we analyze actual software fault count data to show numerical examples of software reliability assessment for the OSS. Moreover, we develop the testing management tool for OSS.

Component-oriented Reliability Analysis and Optimal Version-upgrade Problems for Open Source Software

The current software development environment has been changing into new development paradigms such as concurrent distributed development environment and the so-called open source project by using network computing technologies. Especially, OSS (Open Source Software) systems which serve as key components of critical infrastructures in our society are still ever-expanding now. However, poor handling of quality attainment and customer support prohibit the progress of OSS. We focus on the problems in low software quality that prohibit the progress of OSS. In case of considering the effect of the debugging process on an entire system in the development of a method of reliability assessment for open source project, it is necessary to grasp the deeply-intertwined factors, such as programming path, size of each component, skill of fault reporter, and so on. In order to consider the effect of each software component on the reliability of an entire system under such OSS development, we propose a new approach to software reliability assessment by creating a fusion of neural networks and the software reliability growth models. Also, it has been necessary to manage the software development process in terms of reliability, effort, and version-upgrade time. In this paper, we find the optimal version-upgrade time based on the total expected software maintenance effort by using our software reliability growth models.

A reliability assessment tool for distributed software development environment based on Java and J/Link

In this paper, we propose a software reliability assessment tool based on software reliability growth models for distributed development environment by using Java programming language and J/Link technology in Mathematica. Java is an object-oriented and platform-free programming language which has several advantages such as modularization and reusability of the existing code. Especially J/Link can use and control the Mathematica kernel from a Java program. By using this J/Link technology, we can reduce some efforts to develop the tool because of reusing the existing Mathematica code used for the research. Our tool proposed here is useful for software developers in terms of the management of the system-testing process in distributed development environment.

Software reliability modeling in distributed development environment

PurposeThe aim of this paper is to propose a software reliability growth model based on stochastic differential equations for the integration testing phase of distributed development environment.Design/methodology/approachA client/server system (CSS), which is a new development method, has come into existence as a result of the progress of networking technology by UNIX systems. On the other hand, the effective testing method for distributed development environment has only a few presented. The method of software reliability assessment considering the interaction among software components in a distributed one is discussed.FindingsConventional software reliability growth models for system testing phase in distributed development environment have included many unknown parameters. Especially, the effective estimation method in terms of these unknown parameters, which means the proportion of the total testing‐load for the software component, has never been presented. This software reliability growth model can be easily applied in distributed software development, because the model has a simple structure.Practical implicationsThis model is very useful for software developers in terms of practical reliability assessment in the actual distributed development environment.Originality/valueThe method of software reliability assessment considering the interaction among software components in distributed development environment is proposed. Additionally, several numerical examples for the actual data are presented.

A flexible stochastic differential equation model in distributed development environment

In recent years, the dependence on a computer system has become large in our social life. Especially, a software development environment has been changing into distributed development environment interconnected with work-stations. Therefore, it becomes more difficult for software developers to produce highly reliable software systems efficiently, because of the more diversified and complicated software requirements. Also, in the software development process, the software testing-cost occupies more than a half of the total development cost. In this paper, we derive a flexible stochastic differential equation model describing a fault-detection process during the system testing phase of the distributed development environment by applying a mathematical technique of stochastic differential equations of an It o ˆ type. Moreover, we discuss optimal software release problems based on the reusable rate of software components minimizing the expected total software cost, and also minimizing the cost with satisfying a software reliability requirement based on the coefficient of variation.

Flexible Software Reliability Growth Models for Distributed Systems

With the increasing demands on resources and skills needed to complete complex software projects, there is a steady move towards distributed working. Distributed software development is being made feasible owing to rapid advances in communication technologies. Distributed systems often involve development teams that are located across company sites, organizations, sectors and nations; as such there are special risks involved that are over and above the normal risks of software development. A distributed development project with some or all of the software components generated by different teams presents complex issues of quality and reliability of the software. The need is growing to estimate, risk assess, plan and manage the development of these distributed components and the final full system release. In this paper, an attempt has been made to compare Non Homogeneous Poisson Process (NHPP) based models in a distributed development environment. Proposed (NHPP) model assumes that the software system consists of a finite number of reused and newly developed sub-systems. The reused sub-systems do not consider the effect of severity of the faults on the software reliability growth phenomenon because they stabilize over a period of time i.e. the growth is uniform whereas, the newly developed sub-system does consider that. Fault removal phenomenon for reused and newly developed sub-systems have been modeled separately and is summed up to get the total fault removal phenomenon of the software system. The performance of SRGMs are judged by their ability to fit the past software fault data (goodness of fit) and to predict satisfactorily the future behavior of the software fault removal process (predictive validity)

A Software Reliability Assessment Tool for Distributed Software Development Projects

At present, software development environment has been changing into new development paradigm. Moreover, a software development paradigm based on an open source project is rapidly spreading. In this paper, we propose a software reliability assessment tool incorporating flexible software reliability growth models based on a nonhomogeneous Poisson process and stochastic differential equations for distributed development environment by using Java programming language. Especially, we incorporate the method of reliability assessment for open source software development into the software reliability assessment tool. Also, we analyze actual software fault count data to show numerical examples of software reliability assessment for the open source project by using the tool.

A SOFTWARE RELIABILITY GROWTH MODEL WITH TESTING EFFORT DEPENDENT LEARNING FUNCTION FOR DISTRIBUTED SYSTEMS

Effective software process improvement will not start until management insists that product development work be planned and properly managed. This becomes even more challenging in an increasing number of major system developments made up from distributed sub-system software projects. These sub-systems are integrated and validated to provide the final system and product release. The need is growing to estimate, risk assess, plan and manage the development of these distributed sub-systems and the final full system release. In this paper, an attempt has been made to model the software reliability growth phenomenon with testing effort in a distributed development environment. Proposed Non Homogeneous Poisson Process (NHPP) based model assumes that the software system consists of a finite number of reused and newly developed sub-systems. The reused sub-systems do not consider the effect of severity of the faults on the software reliability growth phenomenon because they stabilize over a period of time i.e., the growth is uniform whereas, the newly developed sub-system do consider that. Fault removal phenomenon for reused and newly developed sub-systems have been modeled separately and is summed up to get the total fault removal phenomenon of the software system. The applicability of our model is shown by validating it on software failure data sets obtained from different real software development projects. The comparisons with established models in terms of goodness of fit, the Akaike Information Criterion (AIC), Mean of Squared Errors (MSE) have been presented.

Event-based traceability for managing evolutionary change

Although the benefits of requirements traceability are widely recognized, the actual practice of maintaining a traceability scheme is not always entirely successful. The traceability infrastructure underlying a software system tends to erode over its lifetime, as time-pressured practitioners fail to consistently maintain links and update impacted artifacts each time a change occurs, even with the support of automated systems. This paper proposes a new method of traceability based upon event-notification and is applicable even in a heterogeneous and globally distributed development environment. Traceable artifacts are no longer tightly coupled but are linked through an event service, which creates an environment in which change is handled more efficiently, and artifacts and their related links are maintained in a restorable state. The method also supports enhanced project management for the process of updating and maintaining the system artifacts.

A software reliability assessment method based on neural networks for distributed development environment

AbstractThe software development environment has been changing into a new development paradigm in CSSs (client/server systems) by the use of network computing technologies. Therefore, it is important to assess the reliability of software system in a distributed development environment because of increasing demands on quality and productivity in social systems. However, it is difficult to assess software reliability in recent years because the complexity of software systems has been increasing as a result of distributed system development.In this paper, we propose a software reliability assessment method considering the interaction among software components in the system‐testing phase of a distributed development environment. © 2003 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 86(11): 13–20, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.10092

Development of Web-based Distributed Cooperative Development Environment of Sign-Language Animation System and its Evaluation

A web-based distributed cooperative development environment of sign-language animation system has been developed. We have extended the system from the previous animation system that was constructed as three tiered system which consists of sign-language animation interface layer, sign-language data processing layer, and sign-language animation database. Two components of a web client using VRML plug-in and web servlet are added to the previous system. The systems can support humanoid-model avatar for interoperability, and can use the stored sign language animation data shared on the database. It is noted in the evaluation of this system that the inverse kinematics function of web client improves the sign-language animation making.

Hybrid Estimation Methods for a Software Reliability Growth Model Based on Stochastic Differential Equations for Distributed Development Environment

Hybrid Estimation Methods for a Software Reliability Growth Model Based on Stochastic Differential Equations for Distributed Development Environment

Sess. 8-1 Flexible Software Reliability Growth Modeling Based on Stochastic Differential Equations for Distributed Development Environment.

Sess. 8-1 Flexible Software Reliability Growth Modeling Based on Stochastic Differential Equations for Distributed Development Environment.

Recent Studies on Software Reliability : An Experimental Analysis of Human Factors Affecting Software Reliability and Methods of Software Reliability Assessment for Distributed Development Environment("Recent Reliability Theorem")

Recent Studies on Software Reliability : An Experimental Analysis of Human Factors Affecting Software Reliability and Methods of Software Reliability Assessment for Distributed Development Environment("Recent Reliability Theorem")

A Software Reliability Growth Model Based on Stochastic Differential Equations for Distributed Development Environment

A Software Reliability Growth Model Based on Stochastic Differential Equations for Distributed Development Environment

Software Reliability Growth Modeling for Distributed Development Environment : A Stochastic Differential Equation Approach and Its Numerical Estimation

Software Reliability Growth Modeling for Distributed Development Environment : A Stochastic Differential Equation Approach and Its Numerical Estimation

A software reliability growth model for a distributed development environment

A software reliability growth model for a distributed development environment

Leveraging distributed software development

The Internet has been changing the way people collaborate on software development, offering certain advantages but also creating new requirements. Internet based collaboration does make a wider base of talent available, but the development cycles running at Internet speeds require maintaining higher levels of precision. From a project management perspective, communication is a key factor in Internet based development. Internet based collaboration requires effective team communication. The authors point out that when a development team isn't communicating well, it is nearly impossible to create and validate design solutions and manage the team's deliverables. So while Internet collaboration offers a number of advantages, the friction created by distributed (therefore delayed) communication typically increases the overhead associated with sharing project information. And the technology itself, including system interoperability and the synchronous or asynchronous collaboration tools, can create problems in a distributed development environment. As the complexities of distributed collaborative development environments increase, frameworks designed for such environments will become essential. The authors describe one such framework called SoftDock, and the new technologies it exploits. It lets developers analyze, design, and develop software from component models.

The emergence of distributed component platforms

Several vendors and consortia have independently developed standards that define the basic mechanics for building and interconnecting software components. Sun's JavaBeans has emerged as the leading rival to Microsoft's DCOM, supplanting the OpenDoc standard from the now defunct Component Integration Laboratories. Component software is moving from its original focus on desktop-bound compound documents to enterprise applications that include distributed server components. The backers of competing standards are racing to capture market leadership by delivering the tangible benefits of component standards via distributed component platforms-integrated development and runtime environments that isolate much of the conceptual and technical complexity involved in building component-based applications. With DCPs, businesses can assign their few highly skilled programmers to component construction and use less sophisticated developers to carry out the simpler assembly tasks. By making component standards available to the broadest possible spectrum of developers, DCPs essentially drive those standards to market. This article reviews the state of component software as embodied in DCPs. The two DCP market leaders are Microsoft's DCOM (or ActiveX/DCOM) and Sun's JavaBeans. However, Internet and OMG component standards are emerging that will likely impact both the content and status of these two DCPs. The article also discusses component frameworks, which extend DCPs to provide more complete application development solutions.

A Web-based tool for data analysis and presentation

In a distributed development environment, the display and analysis of project data are complicated by heterogeneous environments. The authors discuss WebME visualization tool that gathers disparate development data collected from distributed environments and displays them using Web technology.