Selecting Software Components Research Articles

Software Component Selection: An Optimized Selection Criterion for Component-based Software Engineering (CBSE)

Component-Based Software Engineering (CBSE) is gaining popularity in software development due to time and cost limitations. As software applications have become integral to people's lives, developing high-quality and user-friendly applications within a reasonable timeframe and budget has become increasingly challenging. Software development firms frequently use Commercial-Off-The-Shelf (COTS) components to address this challenge and reduce development costs and time. However, selecting appropriate components that meet customer requirements and integrate seamlessly with the target system is a complex task requiring considering the entire software system's quality. This study investigates the critical factors that software industry practitioners and experts must consider when selecting software components. First, the author asked practitioners to identify the most important quality criteria for an online bookstore from a list using subjective judgment and evaluation grades. Then, the study employed the Evidential Reasoning (ER) approach to tackle the multi-level evaluations and information uncertainty associated with software component selection issues. The ER approach's primary features, such as weight normalization, probability assessment, uncertainty management, and utility intervals, offer several benefits for COTS selection problems, including cost and time reduction, improved software reliability, effectiveness, and efficiency. This study assessed the quality criteria for an online bookstore using the ER approach and provided analysis results based on the approach's computational steps. Finally, the study ranked the four components according to their weights, evaluation grades, and belief degrees for selection

Software selection in large-scale software engineering: A model and criteria based on interactive rapid reviews

ContextSoftware selection in large-scale software development continues to be ad hoc and ill-structured. Previous proposals for software component selection tend to be technology-specific and/or do not consider business or ecosystem concerns.ObjectiveOur main aim is to develop an industrially relevant technology-agnostic method that can support practitioners in making informed decisions when selecting software components for use in tools or in products based on a holistic perspective of the overall environment.MethodWe used method engineering to iteratively develop a software selection method for Ericsson AB based on a combination of published research and practitioner insights. We used interactive rapid reviews to systematically identify and analyse scientific literature and to support close cooperation and co-design with practitioners from Ericsson. The model has been validated through a focus group and by practical use at the case company.ResultsThe model consists of a high-level selection process and a wide range of criteria for assessing and for evaluating software to include in business products and tools.ConclusionsWe have developed an industrially relevant model for component selection through active engagement from a company. Co-designing the model based on previous knowledge demonstrates a viable approach to industry-academia collaboration and provides a practical solution that can support practitioners in making informed decisions based on a holistic analysis of business, organisation and technical factors.

Assessing the stability of selected software components for reusability

The need to develop software of great quality with timely delivery and tested components gave birth to reuse. Component reusability entails the use (re-use) of existing artifacts to improve the quality and functionalities of software. Many researches have considered and justified common reusability factors such as customizability, portability, interface complexities, understandability/Documentability etc. but with limited works on stability as a factor. The need to experiment stability (in the context of volatility) as a factor for determining component reusability, is an attempt to lend our voice to the domain of component reusability. This study introduces and justifies stability, in the context of volatility of software component, as a factor that determines the reusability of software components. As part of the study’s methodology, sixty-nine (69) software components were collected from third party, and data extracted from their features were used to compute the metric values of stability. The experimented conducted proved the stability status of the various component types considered.

Engineering Software for a Mobile Robot Motion Control System

The paper centres round the problem of the engineering a motion control system for a mobile robot based on the effective selection of software components with respect to the numerical criterion proposed by the authors. The data for the selection process comes out the reproducible experiments with the sets of alternative components in a Gazebo virtual infrastructure simulating the real robot operating conditions. The genetic algorithm is used to reduce the number of experiments with unpromising sets of software components. The methodology proposed by the authors is applied to the real task of engineering a motion control system for a non-anthropomorphic mobile robot. The virtual infrastructure and genetic algorithm parameters are provided as well as the physical model of the robot for that task. To calculate the integral quality criterion proposed in the paper, 4 partial quality criteria were measured in the experiments with different software components. The motion process of the physical robot with the selected software components is shown.

Evaluation of a Model Maximizing the Quality Value of Selected Software Components in a Library

Reusable software components are selected from libraries by developers and integrated into existing software systems to improve their quality. In this article, we evaluate a mathematical model based on an approach of optimization of the selection of the software components according to their quality. This is a linear programming model with constraints. It takes into account the quality characteristics of the components based on standard ISO / IEC 9126, the financial cost and the adaptation time. The experience with the ILOG Cplex Studio optimization tool gave satisfactory results.

Assessing the stability of selected software components for reusability

Assessing the stability of selected software components for reusability

Data envelopment analysis based multi-objective optimization model for evaluation and selection of software components under optimal redundancy

Software developers face the challenge of developing in-time, low cost, high profit and high-quality software to meet competitive requirements and user demands. The software components for the same can be selected either from the available commercial-off-the-shelf repository or developed in-house. In this paper, we propose a data envelopment analysis (DEA) based nonlinear multi-objective optimization model for selecting software components in the presence of optimal redundancy to ensure software reliability. The proposed optimization model integrates both build and/or buy decisions for selection of components. We use DEA technique for evaluating the fitness of software components based upon multiple inputs and outputs provided by various members of the decision group. The overall efficiency score of each software component is obtained from the aggregated information. The proposed optimization model minimizes the total cost of software system and maximizes the total value of purchasing using constraints corresponding to compatibility of selected components, reliability, execution time, and delivery time of the software system. It also provides the information on the testing efforts needed to be performed on in-house developed components. A real-world case study of modular software development is discussed to illustrate the efficiency of the proposed optimization model. To the best of our knowledge, there exists no previous study on integrated optimization model for the software component selection problem involving build and/or buy decisions under optimal redundancy.

Building design‐time and run‐time knowledge for QoS‐based component assembly

SummaryModern software systems are required to dynamically adapt to changing workloads, scenarios, and objectives and to achieve a certain Quality of Service (QoS). Guaranteeing QoS requirements is not trivial, as run‐time uncertainty might invalidate the design‐time rationale, where software components have been selected by means of off‐line analysis. In this work, we propose a QoS‐based feedback approach that makes a combined use of design‐time predictions and run‐time measurements to manage QoS data over time and support software architects while selecting software components that best fit QoS requirements. We illustrate the feasibility and efficacy of the approach on a case study, where the quantitative evaluation shows how the analysis effectively identifies the sources of QoS violations and indicates possible solutions to achieve QoS requirements.

IJARCCE - Computer and Communication Engineering

2 Abstract: Image fusion is a data fusion technology which keeps images as main research contents. It is techniques that integrate multi-images of the same scene from multiple image sensor data or integrate multi images of the same scene at different times from one image sensor. The fusion technique in medical images is useful for resourceful disease diagnosis purpose. For medical diagnosis, Computed Tomography (CT) provides the best information on denser tissue with less distortion. Magnetic Resonance Image (MRI) provides better information on soft tissue with more distortion. The image fusion algorithm based on Discrete Wavelet Transform which is faster developed was a multi-resolution analysis image fusion method in recent decade. Discrete Wavelet Transform has good time-frequency characteristics. The paper proposes that the method could extract useful information from source images to fused images so that clear images are obtained. In this paper, a hardware implementation of a image fusion system is proposed. Here using MATLAB we can convert images into pixel-format files and to observe simulation results. To implement this paper XPS & VB are needed. Using XPS, first select hardware & software components then by adding source and header files & converting it into bit streams and download into FPGA, to obtain fused image. The input image can also be recovered by combining of fused image and the other input image.

Dynamic and automated product derivation for consumer electronics software applications

Software Product Lines (SPL) is an efficient software engineering approach for dealing with reusable components in products that not only share common features, but also support specific functionalities that satisfy a particular market segment. This approach is interesting for the consumer electronics industry, particularly for mobile device applications. Despite having a significant common core, software applications developed for that domain have to be frequently adapted to different device features, such as operating systems and screen resolution. Thus, developers need to select proper software components to suitably compose the applications for each new device in a family of devices. In this paper, an approach that is able to customize consumer electronics software applications for different devices, in a dynamic and automated way, is presented. It results in a tool called AppSpotter that composes applications by selecting software components according to the features of each target device. To check the tool's performance, a set of experiments were realized in order to simulate different scenarios with up to 10,000 components.

CrusDe: A plug-in based simulation framework for composable Crustal Deformation studies using Green's functions

CrusDe is a plug-in based simulation framework written in C/C++ for Linux platforms (installation information, download and test cases: http://www.grapenthin.org/crusde). It utilizes Green's functions for simulations of the Earth's response to changes in surface loads. Such changes could involve, for example, melting glaciers, oscillating snow loads, or lava flow emplacement. The focus in the simulation could be the response of the Earth's crust in terms of stress changes, changes in strain rates, or simply uplift or subsidence and the respective horizontal displacements of the crust (over time).Rather than implementing a variety of specific models, CrusDe approaches crustal deformation problems from a general formulation in which model elements (Green's function, load function, relaxation function, load history), operators, pre- and postprocessors, as well as input and output routines are independent, exchangeable, and reusable on the basis of a plug-in approach (shared libraries loaded at runtime). We derive the general formulation CrusDe is based on, describe its architecture and use, and demonstrate its capabilities in a test case.With CrusDe users can: (1) dynamically select software components to participate in a simulation (through XML experiment definitions), (2) extend the framework independently with new software components and reuse existing ones, and (3) exchange software components and experiment definitions with other users.CrusDe's plug-in mechanism aims for straightforward extendability allowing modelers to add new Earth models/response functions. Current Green's function implementations include surface displacements due to the elastic response, final relaxed response, and pure thick plate response for a flat Earth. These can be combined to express exponential decay from elastic to final relaxed response, displacement rates due to one or multiple disks, irregular loads, or a combination of these. Each load can have its own load history and crustal decay function.

Algorithms for selecting software components cots with optimization by cost and by

Algorithms for selecting software components cots with optimization by cost and by

An optimization model for software component selection under multiple applications development

Component based software development (CBSD) is well acknowledged as a methodology which establishes reusability of software and reduce development cost effectively. While developing enterprise application using component based software engineering (CBSE) methods, software component selection plays a very important role in the process of component retrieval, adaptation and assembly. However, most of current researches focus on technical aspects from domain engineering and application engineering to improve reusability and system efficiency rather than application of optimization methods in CBSD management, especially application in component selection. Moreover, few existing researches have concerned about the situation where a software developer or enterprise develops multi-applications at the same time. By introducing the concept of reusability and a new formulation of compatibility matrix, an optimization model is proposed to solve component selection problem considering reusability and compatibility simultaneously. The model can be used to assist software developers in selecting software components when multi-applications are undertaken concurrently. Four experiments are conducted with the purpose to provide some insights in management perspective.

Determining Criteria for Selecting Software Components: Lessons Learned

Software component selection is growing in importance. Its success relies on correctly assessing the candidate components' quality. For a particular project, you can assess quality by identifying and analyzing the criteria that affect it. Component selection is on the suitability and completeness of the criteria used for evaluation. Experiences from determining criteria for several industrial projects provide important lessons. For a particular selection process, you can organize selection criteria into a criteria catalog. A CC is built for a scope, which can be either a domain (workflow systems, mail servers, antivirus tools, and so on) or a category of domains (communication infrastructure, collaboration software, and so on). Structurally, a CC arranges selection criteria in a hierarchical tree-like structure. The higher-level selection criteria serve to classify more concrete selection criteria, usually allowing some overlap. They also serve to leverage the CC

Re-engineering IMIS, the German integrated system for measuring and assessing environmental radioactivity

This paper will first outline the tasks assigned to IMIS as laid down in several federal laws of the Federal Republic of Germany with an eye towards their realization, and then we discuss the technical aspects of reengineering IMIS. The requirements for the new version of IMIS are indicated, and we discuss how they should be implemented. It is surprising that before putting the new system into operation it was advantageous to introduce a prototyping phase. We will discuss the requirements leading us to the construction of a rather complex prototype. This prototype was operational and was subsequently evaluated, resulting in very specific recommendations for system construction which could not have been obtained from conceptual considerations only. We point out that these experiments were a crucial means of arriving at our recommendations. Hence we demonstrate a practical approach to system construction for rather large systems integrating networking, client/server architectures and carefully selected software components.