Component Repository Research Articles

Bioactive Patch for Rotator Cuff Repairing via Enhancing Tendon-to-Bone Healing: A Large Animal Study and Short-Term Outcome of a Clinical Trial.

Tissue engineering has demonstrated its efficacy in promoting tissue regeneration, and extensive research has explored its application in rotator cuff (RC) tears. However, there remains a paucity of research translating from bench to clinic. A key challenge in RC repair is the healing of tendon-bone interface (TBI), for which bioactive materials suitable for interface repair are still lacking. The umbilical cord (UC), which serves as a vital repository of bioactive components in nature, is emerging as an important source of tissue engineering materials. A minimally manipulated approach is used to fabricate UC scaffolds that retain a wealth of bioactive components and cytokines. The scaffold demonstrates the ability to modulate the TBI healing microenvironment by facilitating cell proliferation, migration, suppressing inflammation, and inducing chondrogenic differentiation. This foundation sets the stage for in vivo validation and clinical translation. Following implantation of UC scaffolds in the canine model, comprehensive assessments, including MRI and histological analysis confirm their efficacy in inducing TBI reconstruction. Encouraging short-term clinical results further suggest the ability of UC scaffolds to effectively enhance RC repair. This investigation explores the mechanisms underlying the promotion of TBI repair by UC scaffolds, providing key insights for clinical application and translational research.

Novel Optimized Reusable Component Repository Using Neural Networks

For the success of the time bound development of software to meet with high demand of market, it is very much necessary for organizations to maintain a proper reusable component repository, either open source or proprietary. This was also endorsed by the survey authors conducted and analyzed data collected as shown in this work. This paper aims to bring out the opinions of actual users like developers in using the Repository. A survey was conducted by the authors of this paper. Basically, survey aims at identifying the experiences of developers using reusable components and trying to identify what developers are expecting from the reusable component repositories and the practices of usage of repositories in the companies. In this paper a Novel Repository building mechanism using Neural Networks is proposed. The normalized features are considered as input to Neural Network model which specifies whether required component exists or not in the repository. The experiment results were found to be giving 94% accuracy in identifying an existing component at the time of retrieval.

AI-Powered Cyberinfrastructure Platform for Modular Electric Vehicle Product Design: Conceptual framework and architecture

Modularity in products is a well-accepted strategy for diversifying and enabling the development of new products. A modular product not only eases the designing, construction, and testing of products, but also fits well in production, distribution, and product customization cost-effectively. In this study, we propose modularity as a keystone for the progressive development of the fast-evolving, yet nascent electric vehicle (EV) product. Specifically, we present a conceptual framework for a cyberinfrastructure-based platform for criteria-dependent customization of EV modular products/components. The cyberinfrastructure platform consists of three key parts: a standardized representation of components, their interfaces and their workflow; a central repository of components; and a system for designing modular products. The product configuration optimizer serves to customize the products based on decision criteria, customer preferences, real-time availability of supplies with components cost profile, compatibility and interface engineering of the components. A working model of the framework is presented for the use-case of modular platform configuration of the key components of an EV to meet customer preferences.

Green factors of referential value-based software component repository

Green factors of referential value-based software component repository

Green factors of referential value-based software component repository

Reference-based green computing has different dimensions like time, cost, space etc. Time and space required by software system is dependent upon development process of the software and algorithm used during software development. In the referential software development system, new dimensions are coming into picture such as length of networks used, technology adopted in the network systems and response time of the middleware. The major objective of the paper is to provide the efficient reusability system for the green parameter. In this paper, all green parameters including new dimensions proposed in the referential software development process have been calculated. The proposed technique presents the mapping of addresses required to simulate referential software's in the cloud computing scenario. The proposed method increases the software reusability and reduce the cost and time.

Design of framework for ontological component retrieval from software component repositories

Modern component retrieval approaches are based on the context and domain of the software component in addition to using various classification and retrieval techniques like keyword search, attribute-based search and semantic search. This work proposes ontological retrieval framework for software components that makes the use of ontology for effective retrieval of components. Ontological component retrieval framework has been created to facilitate the users and developers to retrieve software components matching precisely to their needs. A well-framed set of queries ranging from little to specific knowledge about the component requirement has been used to validate the results.

Design of framework for ontological component retrieval from software component repositories

Modern component retrieval approaches are based on the context and domain of the software component in addition to using various classification and retrieval techniques like keyword search, attribute-based search and semantic search. This work proposes ontological retrieval framework for software components that makes the use of ontology for effective retrieval of components. Ontological component retrieval framework has been created to facilitate the users and developers to retrieve software components matching precisely to their needs. A well-framed set of queries ranging from little to specific knowledge about the component requirement has been used to validate the results.

The Wearables Development Toolkit

Although the last two decades have seen an increasing number of activity recognition applications with wearable devices, there is still a lack of tools specifically designed to support their development. The development of activity recognition algorithms for wearable devices is particularly challenging because of the several requirements that have to be met simultaneously (e.g., low energy consumption, small and lightweight, accurate recognition). Activity recognition applications are usually developed in a series of iterations to annotate sensor data and to analyze, develop and assess the performance of a recognition algorithm. This paper presents the Wearables Development Toolkit, an Integrated Development Environment designed to lower the entrance barrier to the development of activity recognition applications with wearables. It specifically focuses on activity recognition using on-body inertial sensors. The toolkit offers a repository of high-level reusable components and a set of tools with functionality to annotate data, to analyze and develop activity recognition algorithms and to assess their recognition and computational performance. We demonstrate the versatility of the toolkit with three applications and describe how we developed it incrementally based on two user studies.

Recommendation-Based Component Selection for Component-Based Systems

Selection of reusable software components in software repositories to facilitate quality software development has always been a focal point and a big concern for software researchers. One of the most time-consuming tasks in software reusability is tracing and retrieving software components from a large repository. The selection of inapt software package can result in high cost and ultimately becomes a prime source of adverse outcome in business processes and performance of the organization. Creation of quality software depends upon the selection of the best set of components among all the alternatives present in the reusable component repository. Frequently used sets of components can be obtained by using mining algorithms. This paper proposes a component selection methodology and a method for retrieval of the optimal set of reusable components from the repository. Case-based retrieval is applied for initial filtering of components to narrow down the search space. A data mining algorithm is applied to extract the candidate set of components for a given case. Most frequent set of components aid the decision-maker to select the finest component set and also assist in suggesting the supplementary components for the case to match with the latest updates.

The new era of software reuse

The new era of software reuse

An Optimized Component Selection Algorithm for Self-Adaptive Software Architecture Using the Component Repository

Component-based software engineering focuses on the development and reuse of components. The component reuse depends on the storage and retrieval processes. This article presents the component repository model for the developers to achieve good productivity. The component selection from the component repository according to the functionality and requirements is a crucial process. This article proposed an algorithm for optimizing component selection with functionality constraints like customer size, reliability, and performance. The experimental result evaluates the performance of the algorithm.

A formal framework for measuring technical lag in component repositories — and its application to npm

AbstractReusable Open Source Software (OSS) components for major programming languages are available in package repositories. Developers rely on package management tools to automate deployments, specifying which package releases satisfy the needs of their applications. However, these specifications may lead to deploying package releases that are outdated, or otherwise undesirable, because they do not include bug fixes, security fixes, or new functionality. In contrast, automatically updating to a more recent release may introduce incompatibility issues. To capture this delicate balance, we formalise a generic model of technical lag, a concept that quantifies to which extent a deployed collection of components is outdated, with respect to the ideal deployment. We operationalise this model for the npm package manager. We empirically analyze the history of package update practices and technical lag for more than 500K packages with about 4M package releases over a seven‐year period. We consider both development and runtime dependencies, and study both direct and transitive dependencies. We also analyze the technical lag of external GitHub applications depending on npm packages. We report our findings, suggesting the need for more awareness of, and integrated tool support for, controlling technical lag in software libraries.

Function of atypical mammalian oocyte/zygote nucleoli and its implications for reproductive biology and medicine.

Mammalian oocytes/zygotes contain atypical nucleoli that are composed exclusively of a dense fibrillar material. It has been commonly accepted that these nucleoli serve as a repository of components that are used later on, as the embryo develops, for the construction of typical tripartite nucleoli. Indeed, when nucleoli were removed from immature oocytes (enucleolation) and these oocytes were then matured, fertilized or parthenogenetically activated, development of the produced embryos ceased after one or two cleavages with no detectable nucleoli in nuclei. This indicated that zygotic nucleoli originate exclusively from oocytes, i.e. are maternally inherited. Recently published results, however, do not support this developmental biology dogma and demonstrate that maternal nucleoli in one-cell stage embryos are necessary only during a very short time period after fertilization when they serve as a major heterochromatin organizing structures. Nevertheless, it still remains to be determined, which other functions/roles the atypical oocyte/zygote nucleoli eventually have.

An optimised component selection algorithm for self-adaptive software architecture using the component repository

An optimised component selection algorithm for self-adaptive software architecture using the component repository

Building Hierarchical Component Directories.

Component-based development is the software paradigm focused on building applications using reusable software components. Applica- tions are built by assembling components, where the required interfaces of a component are connected to compatible provided interfaces of other components. In order to have an effective building process, software ar- chitects need adequate component directories that both index available components and ease their search. So far, existing approaches provide only a limited structure and indexation to store/register components and, as a consequence, they propose an inadequate searching process. Even when the indexes are built as flat or hierarchical structures, the indexed elements are not the components themselves, but part of them, such as services or functions, making the search of the needed compatible com- ponents imprecise. To cope with searching and compatibility problems, the contribution of this paper is twofold: it is composed of both a refined methodology (improving a previous approach) and a tool to build a hi- erarchically structured component directory. The component directory solves the identified problems letting an architect find components that are compatible with a given specification (to be assembled) or components that can substitute to a given one. This directory uses Formal Concept Analysis to build component type hierarchies thanks to a three step classification process that successively classifies functionality signatures, interfaces and, at last, component types. The refinement of the methodology is based on a substitutability relationship between components, where the notion of not having a parameter or an interface of some type makes our methodology more robust when considering required interfaces. The tool made possible to overcome scalability issues implementing several variations on the clas- sification strategy. We present several experiments on three case studies to classify components from on-line open-source component repositories as a validation of our methodology.

Vistrates: A Component Model for Ubiquitous Analytics.

Visualization tools are often specialized for specific tasks, which turns the user's analytical workflow into a fragmented process performed across many tools. In this paper, we present a component model design for data visualization to promote modular designs of visualization tools that enhance their analytical scope. Rather than fragmenting tasks across tools, the component model supports unification, where components-the building blocks of this model-can be assembled to support a wide range of tasks. Furthermore, the model also provides additional key properties, such as support for collaboration, sharing across multiple devices, and adaptive usage depending on expertise, from creating visualizations using dropdown menus, through instantiating components, to actually modifying components or creating entirely new ones from scratch using JavaScript or Python source code. To realize our model, we introduce VISTRATES, a literate computing platform for developing, assembling, and sharing visualization components. From a visualization perspective, Vistrates features cross-cutting components for visual representations, interaction, collaboration, and device responsiveness maintained in a component repository. From a development perspective, Vistrates offers a collaborative programming environment where novices and experts alike can compose component pipelines for specific analytical activities. Finally, we present several Vistrates use cases that span the full range of the classic "anytime" and "anywhere" motto for ubiquitous analysis: from mobile and on-the-go usage, through office settings, to collaborative smart environments covering a variety of tasks and devices.

Optimal component architecture using particle swarm optimization algorithm for self-adaptive software architecture

The component-based software engineering (CBSE) ensue the procedure of reconfiguration and reusability of components to reap the higher productivity. The context-aware structures are portion of CBSE, which observes the functionality of the system and adopt automatically according to the execution context. In this paper, we are focusing on the aware context guidelines that automatically adapt to the given context given by the customers and remodel the software architecture based totally on the requirements. The component repository turned into added, in which it carries the wide variety of reusable components. The fuzzy logic becomes carried out to the component evaluation in the component repository. The Particle Swarm Optimization (PSO) algorithm applied, to optimize component architecture. The Hospital management system is used to test the adaptability of the system.

An Optimized Component Selection Algorithm for Self-Adaptive Software architecture using the Component Repository

Component-based software engineering focus on the development and reuse of the component. The component reuse is depending on the storage and retrieves process. The storage and retrieve process is carried by a component repository. This paper presents the component repository model for the developers to achieve good productivity. The component selection from the component repository according the functionality and requirements is a crucial part. This paper proposed an algorithm for optimising component selection with the functionality constraints like customer size, reliability and performance. The experimental result evaluates the performance of the algorithm and it is proved that the proposed algorithm had better performance in terms of component selection.

Generic Platform to Generate Educational Components

In this research, we will present all the concepts necessary for the implementation of a warehouse of educational components. We define three classes of educational components: Learning components, services components and technical components. We built a metadata schema to describe them. We will study the warehouse architecture and how the actors interact with it. We will also see the features implemented at the indexing and search system that integrates. The aim is to clarify the strategic solutions we have adopted to create a generic platform, adaptable and scalable. The instantiation of this platform provides the Educational Component Repository.

Algorithmic Approach for Efficient Retrieval of Component Repositories in Component based Software Engineering

Objectives: Software development is largely being transformed from traditional model based approach to plug and play component based approach which is required for enhancing reusability of the system for robust development. Methods/ Statistical Analysis: Tremendous techniques and models have been used and adopted for component qualification and adaptation using selection, construction, analysis and evaluation algorithms. The major task has always been to find an optimum centric approach to trade off the advantages of customized development and development using reusable components. Findings: CBSE environment and development by using various components as object, detail description and tools with platforms have been presented. The classification algorithms showed robustness of component, based on various extracted module. The ontology based algorithm is one of the robust techniques in the retrieval process. Futuristic implementation will emerge with this segregation cum classification scenario in a single unit that is to refine component presentation, management and retrieval. Applications/Improvements: Initially IBM Company adopted the concept of CBSE by using the System Object Model (SOM). The functions, libraries and UNIX pipes are some other examples of such approaches. The scope of the improvement, as far as findings and further work is concerned, lies with the selection, classification and retrieval scheme for component repositories. This has been improved with different representations of meta data of the component such as domain, interface, services and other semantic information.