Software Development

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Component based Software Development  New Era with New Innovation in Software Development

Component based Software Development New Era with New Innovation in Software Development

Traditional software development technology could not catch up with the speed of the many existing and proposed techniques for software development, it seems clear that component-based software development (CBSD) will be at the vanguard of new approaches to the production of software systems and holds the guarantee of substantially enhancing the software production and maintenance process. But the fundamental problem with CBSD is the Selection and Customization of components to meet the requirements of the proposed software. In this paper we are proposing a Selection and Customization Framework for CBSD. In CBSE, selection and composition of components require their interface without showing their idiosyncrasies. This methodology is very similar to the concepts of Object Oriented methods, but the Object Oriented approaches focus on inheritance rather than reusability. We have categorized and prioritized components according to their participation in the software development.
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Requirements Analysis and Design in the Context of Various Software Development Approaches

Requirements Analysis and Design in the Context of Various Software Development Approaches

Both requirements analysis and software design are the most important stages of a software development life cycle. If a defect or mistake is not detected at the requirements analysis stage it can cause serious challenges for the entire software development. In view of the fact that all the stages of a software development life cycle flows in a sequence, hence the success of a particular stage heavily depends on the successful completion of a preceding stage. In this scenario, if the requirements analysis stage is not completed effectively it will have a significant effect on the design stage. One major drawback of traditional requirements engineering process is that it does not provide any support for changes. For instance, if a change occurs during implementation stage the software development team has to complete the entire software development life cycle in order to accommodate change. In order to deal with the issues of traditional life cycle, a new software development methodology emerged that is known as Agile software development methodology. It provides an excellent support for changes occurring throughout a software development life cycle. This paper has presented a detailed analysis of requirements analysis and software design with respect to traditional software development life cycle as well as agile software development. This paper has also discussed the concepts of requirements analysis and software design with respect to other software development methodologies. However, both requirements analysis and software design are significant attribute of all the software development approaches.
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The Software Vulnerability Ecosystem: Software Development In The Context Of Adversarial Behavior

The Software Vulnerability Ecosystem: Software Development In The Context Of Adversarial Behavior

Mozilla’s developers acknowledged the switch to RRC “ involved changing a num- ber of our processes. It’s also raised some new issues.”. [Bak] The midstream intro- duction of RRC provides the basis for a sui generis analysis of the effect of changing a single variable. That is, a “before and after” comparison of security properties in light of a significant change in software development practices. Because of the need to support large organizations, such as corporations and governments Mozilla also maintains a second non-Agile Firefox development track for its Extended Support Release (ESR) version which continued to be developed and maintained according to the traditional model. So, Firefox has documented history using both develop- ment models at the same time. The concurrent release processes for RRC and ESR (discussed below and displayed in Tables 4.1 and 4.2), effectively tab provide two versions of the same software differing only by a single variable, the release cycle. Thus, this dual-track Firefox release strategy provides a unique analytic framework for a data-driven examination of RRC methodologies. Moreover, Mozilla because syncs the two platforms approximately once a year, so code developed in RRC could adversely affect the ESR versions as well. This created the opportunity to also study the effects of code reuse.
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Importance of Software Testing in the Process of Software Development

Importance of Software Testing in the Process of Software Development

Time is the biggest constraint in the process of software development. A software with extraordinary functionalities, best coding, and proper design can be of no use to customer if it is not delivered on desired time. Testing is the part of software development lifecycle (SDLC), hence, early testing must be done at each and every phase of SDLC to prevent delay in software delivery process. For this, testers must be able to manage time in such a way that desired testing results can be achieved and at the same time, software can be delivered on time.
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Agile Software Development in Global Software Engineering

Agile Software Development in Global Software Engineering

In conclusion, this paper demonstrates the applicability of agile methods in Global software development. We examined the current research literature to determine the benefits and challenges of agile practices in distributed development. After reviewing the current research on the use of agile practices we can say that there is the possibility of applying agile methods in GSE. Agile software development can be beneficial with respect to Global software engineering and gives a no. of benefits like better coordination and communication, product visibility, trust, customer involvement, early problem identification, clarification of requirements etc. Communication, Language barrier, different culture, lack of trust, personnel selection are the main challenges usually faced in global software engineering and regardless of these challenges the software companies are successfully applying agile methods in their distributed development. The results of this study suggests that implementation of agile methods in distributed environment by means of appropriate tool support can helps in mitigating these challenges. Various software industries are getting benefits in distributed agile development with the usage of computer mediated tools like videoconferencing, emails, Skype, wikis etc. In future work empirical investigation can be done in order to identified more challenges and strategies in Agile global software development. In this paper we had not focused on the mitigation strategies to deal with the challenges that are being faced by distributed teams. Therefore for future work an framework should be developed that contains the information regarding various challenges in a particular Global software development context and mitigation strategies for these challenges.
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An Empirical Study of Agile Software Development

An Empirical Study of Agile Software Development

Agile Alliance was formed when seventeen representatives of different agile methods, such as Extreme Programming (XP), Scrum and Crystal Family, met to discuss alternatives to rigorous, documentation driven software development. Agile Alliance did not want to specify detailed project tactics mainly because the members represent competing companies but rather agree on values that support agile or lightweight software development at a high level. Thus, Agile Manifesto is a collection of values and principles, which can be found in the background of the most agile methods. Agile Alliance describes its intentions as follows:
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Component based software engineering: a pragmatic approach to software development in 21st century

Component based software engineering: a pragmatic approach to software development in 21st century

based software engineering approach to software development employs the techniques of selecting reliable and reusable software components and assembling them within appropriate This approach is unique because it brings about designs that make a clear separation between the stable parts of the system from the . The rising need of software in 21 st century is indeed of a great n demand for software, software engineers need a proactive and pragmatic approach that will handle the situation on ground. Although object oriented approach helped in giving birth to software that reflect the object of the problem domain, the approach does not necessarily produce software architectures that can easily adapt to the changing requirements of users based software engineering, the software team will first establish he architectural design is made and detailed design omitted instead the team examines requirements to determine what subset is directly amenable to composition based software engineering would help software developers to quality, reliable and easily maintainable software that meets user’s requirements. It will also bring about significant reduction in the development cost and time since developers can quickly are components rather than build everything from the scratch. Furthermore, it will lead to designs that will be easily adapted to meet the changing
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Computer Software Development Challenges in Iran, with Respect to Software Metrics

Computer Software Development Challenges in Iran, with Respect to Software Metrics

According to findings the most impediments that computer software developers are faced across the country related to challenges of system requirement and also programming quality and maintenance respectively with variables of demographical specifications including period of projects completion and average experience of project group members. To remove or reduce software challenges, the complexity of the software should be reduced firstly. Because each challenges embedded some sorts of complexity which can be resolved by providing certain solutions. So software metrics are examined not only to reveal these challenges but also they provide some hints to resolve them. As a result of taking advantage of software metrics the quality of software improve and there is better control over estimated cost and time to obtain.
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Computer Network Product Quality Inspection System

Computer Network Product Quality Inspection System

This project is aiming to designing of the algorithm based on computer- network product quality inspection system. The scope of the project also involve the part of designing and creating the algorithm which will works together with the hadware. The software of Matlab used to process the image taken from the webcam as a computational tools. The work will classify the sample of the bottle of the beverages based on the condition of the inspection detail as mention early as also based on two condition which are pass or fail product. Overall, this project will involve with software and hardware which the software development will include the MATLAB coding for water color and water level and the hardware development contain of camera for image processing, conveyer for the product to run through, motor for the conveyer to run, sensor to sense product, motor driver, and laptop.
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Software Engineering (9th Edition) pdf

Software Engineering (9th Edition) pdf

Historically, there has always been a split between the process of software devel- opment and the process of software evolution (software maintenance). People think of software development as a creative activity in which a software system is devel- oped from an initial concept through to a working system. However, they sometimes think of software maintenance as dull and uninteresting. Although the costs of main- tenance are often several times the initial development costs, maintenance processes are sometimes considered to be less challenging than original software development. This distinction between development and maintenance is increasingly irrelevant. Hardly any software systems are completely new systems and it makes much more sense to see development and maintenance as a continuum. Rather than two separate processes, it is more realistic to think of software engineering as an evolutionary process (Figure 2.8) where software is continually changed over its lifetime in response to changing requirements and customer needs.
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Ontologies for Software Project Management: A Review

Ontologies for Software Project Management: A Review

Similarly in the area of software engineering, the goal is to find repeatable processes that improve both pro- ductivity and quality. For this reason, a large number of software process models have been developed, namely Waterfall, Prototyping, RAD (Rapid Application Development), Incremental, Spiral, UP (Unified Process) XP (Extreme Programming), Scrum, etc. [4] attempting to address the optimal way to develop software based on the specialties of each problem domain and the characteristics of each software development paradigm. Even though software project management attracted significant attention from both industry and academia, a great number of projects still fail to meet their requirements in terms of time delays, cost overrun and quality restrictions. These failures are attributed to the facts that software projects are complex undertakings, relying heavily on human knowledge and human interaction. Many studies on various types of software projects have proven that their outcomes are far from the complete fulfilment of the initial requirements [5] [6].
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II TRADITIONAL SDLC METHODOLOGIES

II TRADITIONAL SDLC METHODOLOGIES

Lightweight methodologies are a compromise between no process and too much process. These new methods were developed to efficiently manage software projects subjected to short timelines and excessive uncertainty and change. Lightweight SDLCs are Adaptive Software Development (ASD),Agile Software Process (ASP), Crystal, Dynamic System Development Method (DSDM),Feature Driven Development (FDD), Rational Unified Process (RUP). Strengths of these new light methodologies include their simpler processes and easier acceptance by developers who are only familiar with code and fix techniques. In addition, these lightweight SDLCs aid developers in thinking clearly about the end products they are creating. Disadvantages include their inability to handle large development teams. Lightweight methodologies are most appropriate when there are uncertain and volatile requirements, responsible and motivated developers, and customers who wish to become involved.
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An Effective Model for Software Risk Estimation

An Effective Model for Software Risk Estimation

Software development and software quality analysis are the parallel processes that are used to develop a quality software product. The software measurement is required to perform the software analysis under different metrics so that the software reliability will be improved. Software analysis is required to predict the software system under different quality metrics so that the effective software generation will be done. There are number of parameters to develop a software system. These parameters include the prediction and process improvement parameters. These helps to analyze the software system under theoretical, conceptual and practical aspects. Based on the earlier analysis, the real time software systems can be analyzed and predicted for the effective analysis. There are number of existing models and parameters based on which the software systems can be analyzed. These models or approaches are adopted by different organizations to deliver quality product.
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A Survey Paper on Test Case Generation and Optimization: Cuckoo Search and Firefly Algorithm

A Survey Paper on Test Case Generation and Optimization: Cuckoo Search and Firefly Algorithm

While designing a software, several steps are initiated which are transformed to Software Development Life Cycle. Every phase of this methodology is equally essential for development of software but the most critical among these is Software Testing. The software testing can be done in two ways- either manually or automated testing is performed to save time. The software testing phase ensures the quality of software by identifying bugs in a system. The phase generates set of input data which checks the proper functionality of the system and tests whether requirements are fulfilled or not. As manual testing is very time consuming, automated testing is preferred which is further classified as random techniques and data oriented techniques. Random technique as name suggests selects random set of inputs for testing rather than concerning test requirements. The limitation seems to be of this technique is not effective and sometimes fails to output desired test data. The second technique, i.e., path oriented technique uses the control flow graph to generate the test cases. The technique is further classified as static and dynamic techniques. Static technique based on symbolic execution, generates test data without actually executing the system being tested whereas dynamic technique executes the system for obtaining results. Static approach undergoes many problems such as indefinite arrays, pointers, loops, etc. which can be overcome by dynamic approach. Approach which presents the testing problem as optimization problem is called as meta heuristic approach.
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A BASIS OF ONTOLOGY FOR ASPECT ORIENTED METRICS

A BASIS OF ONTOLOGY FOR ASPECT ORIENTED METRICS

The feature modularization has paved the way for the growth of aspect oriented software development. Aspect Oriented paradigm supports the separation of concerns that are scattered over the system which helps in achieving modularity. Aspect Oriented Software Development encompass software engineering abstractions and complexity at new and different dimensions. As aspect orientation is a comparatively new paradigm, it lacks philosophical basis, as compared to object orientation. Since aspect orientation lacks a theoretical basis as enjoyed by object orientation, there is no clarity over what constitutes an aspect and the best approach to measure and assess the properties of an aspect oriented program. This paper looks at information necessitated to build ontology for aspect oriented quality measurement.
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RANKING THE INFLUENCE USERS IN A SOCIAL NETWORKING SITE USING AN IMPROVED TOPSIS 
METHOD

RANKING THE INFLUENCE USERS IN A SOCIAL NETWORKING SITE USING AN IMPROVED TOPSIS METHOD

The Decision Support System described has been developed as one of the deliverables of the aforementioned framework of selecting appropriate software development life cycle. The aim of the system is to improve software development practices by supporting the framework and tools for software development methods. Weight distribution has been done based on the knowledge and the practical experience of various developers in leading software companies and the available literature. It depends on the weight of the input category of a large number of identified metrics. These weights are assigned to input parameters that are divided into five categories depending upon the role of these metrics on the software development. Table I describes the numerical equivalent value for different categories.
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Automotive Software Process Improvement In Software Product Line Using Aspla Model

Automotive Software Process Improvement In Software Product Line Using Aspla Model

In order to keep up with modifications in the company setting and retain a competitive advantage, flexibility is essential for any organisation, including software organizations. Flexibility in software engineering is often connected with agile software development principles and procedures. Agile Software Development is a set of software development methodologies, e.g. Extreme Programming (XP), Scrum and Crystal, focusing on tiny iterations of operating software products, adapting to modifications in requirements and working closely with clients. A strategic reuse, managing the creation and maintaining the quality of countless customized software versions can address the growing complexity of software. Software product lines are a software paradigm for the systematic reuse of software and are widely used in the growth of automotive software. It is essential to handle the large amount of distinct software versions in the automotive integrated growth that fulfill distinct demands across various industries while preserving the software quality at the same time. Current automotive software development is strongly organized through standardized procedures. Process evaluations are used to assess the organizational unit's procedures against a predefined model of process evaluation. CMMI and Automotive SPICE (ASPICE) are the most popular standards in the automotive domain. A precondition for a good mixture of agile methods and software product lines in the automotive domain is the assessment of the present development status. The recognized the need for an adapted evaluation model addressing the Automotive
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A MODEL FOR MEASURING ARTICLES KNOWLEDGEABILITY LEVELS

A MODEL FOR MEASURING ARTICLES KNOWLEDGEABILITY LEVELS

This article discusses the issues of standardizing commercial production of secure software products. It studies administrative and technical controls for minimizing the number of vulnerabilities during development and operational support of secure automated systems software. We classified standards and guidelines on secure software development. We analysed applicability of the available methodological approaches to secure software development during evaluation of conformance to the information security requirements, including during certification of the software products. The article proves feasibility of harmonizing the developed regulatory requirements and practical measures with the methods stipulated in ISO 15408 and ISO 12207 international standards. We introduced the notion of secure software and developed a basic set of requirements that allows, among other things, evaluating the conformance of the software development processes to secure software requirements. We prove that the set of requirements shall rest, first of all, on the accepted security policies and up-to-date threats. Sample requirements under development are provided. We developed an original conceptual model for analysis and synthesis of a set of controls for secure software development that rests on a set of generated requirements. The article shows that the conceptual model gives the software developers an opportunity to make a science-based choice of software development controls. We developed general methods for selecting a set of secure software development controls. We provide indirect proof of efficiency of the suggested approach. It should be noted that the suggested approach was used as a basis for the national standard on development and production of secure software.
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Analogy-Based Software Quality Prediction with Project Feature Weights

Analogy-Based Software Quality Prediction with Project Feature Weights

programmers. Among such models, those estimating software effort have motivated considerable research in recent years [11]. Correct prediction of the software quality or maintain a software system is one of the most critical activities in managing software project. Due to the nature of the software engineering domain, it is important that software quality estimation models should be able to deal with ambiguity and indistinctness associated with such values. To serve this purpose, we propose our case- based estimation model for software quality estimation. We feel that case-based models are particularly useful when it is difficult to define concrete rules about a problem domain in addition to this, expert advice may be used to supplement the existing stored knowledge. A case-based reasoning model was developed in [13] for estimating software development effort.
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Software Quality Estimation using Machine Learning: Case based Reasoning Technique

Software Quality Estimation using Machine Learning: Case based Reasoning Technique

In this paper we have used two similarity measures namely Euclidean distance and Manhattan distance. For their efficacy in determining errors, the low error programs detected by these methods may help to design high quality software (error free programs).In this research we have shown the strong motivation behind the use of CBR as a tool for solving the problem which has been given as snapshot in this paper. As part of our ongoing work, increasing the volume of database is another objective. The larger the database more likely the results are to be accurate. We are collecting data from different categories of students and viewing different parameters. In this research, students programs were the basic target of study.
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