This document discusses quality parameters for software and metrics to evaluate them. It begins by defining software quality and listing some key parameters like capability, usability, performance, reliability, maintainability, etc. It then discusses two types of parameters - functional and non-functional. For each major parameter, it provides definitions, models to measure them, and features that can improve them. The document focuses on capability/functionality first, defining it and providing the commonly used Function Point metric to measure it. Next, it discusses usability and provides definitions relating to usability. In summary, the document provides an overview of important software quality parameters, ways to measure them, and how to improve them.
Performance testing based on time complexity analysis for embedded softwareMr. Chanuwan
The document discusses performance testing of embedded software based on time complexity analysis. It presents a method to:
1) Statically analyze software modules and compute their time complexity based on architecture design.
2) Collect runtime data from modules during testing to compare actual vs expected time complexity and detect abnormalities.
3) Experiments on an embedded human-machine interface project showed the method can find inconsistencies between design and implementation.
Actions are blocks of statements in a test script that are executed sequentially, with one default action called "Action1" created automatically. When an action is created, it generates files to store object repository, resources, and script data, and adds a sheet to the default data file for that action. Actions allow breaking up test scripts into logical segments that are executed one after the other.
The document discusses messaging and internationalization. It covers messaging using Java Message Service (JMS), including the need for messaging, messaging architecture, types of messaging, messaging models, messaging servers, components of a JMS application, developing effective messaging solutions, and implementing JMS. It also discusses internationalizing J2EE applications.
Determination of Software Release Instant of Three-Tier Client Server Softwar...Waqas Tariq
Quality of any software system mainly depends on how much time testing take place, what kind of testing methodologies are used, how complex the software is, the amount of efforts put by software developers and the type of testing environment subject to the cost and time constraint. More time developers spend on testing more errors can be removed leading to better reliable software but then testing cost will also increase. On the contrary, if testing time is too short, software cost could be reduced provided the customers take risk of buying unreliable software. However, this will increase the cost during operational phase since it is more expensive to fix an error during operational phase than during testing phase. Therefore it is essentially important to decide when to stop testing and release the software to customers based on cost and reliability assessment. In this paper we present a mechanism of when to stop testing process and release the software to end-user by developing a software cost model with risk factor. Based on the proposed method we specifically address the issues of how to decide that we should stop testing and release the software based on three-tier client server architecture which would facilitates software developers to ensure on-time delivery of a software product meeting the criteria of achieving predefined level of reliability and minimizing the cost. A numerical example has been cited to illustrate the experimental results showing significant improvements over the conventional statistical models based on NHPP.
The document discusses software reliability and reliability growth models. It defines software reliability and differentiates it from hardware reliability. It also describes some commonly used software reliability growth models like Musa's basic and logarithmic models. These models make assumptions about fault removal over time to predict how failure rates will change as testing progresses. The key challenges with models are uncertainty and accurately estimating their parameters.
Design Issue(Reuse) in Software Engineering SE14koolkampus
The document discusses various techniques for software reuse, including component-based development, application families, and design patterns. It describes the benefits of reuse such as increased reliability and reduced costs. Different types of reusable components are explained, from whole application systems to individual functions. Requirements for effective reuse include components being reliable, documented, and easily found and adapted.
Design Driven Development (D3) is a simple agile-based methodology that centers software development around innovation and design. D3 turns design practices into a set of games that bring different skills and experiences together to make collaborative design decisions. The games help understand customer needs, question assumptions, design solutions, and experience prototypes. D3 defines roles for various participants including users, business analysts, designers, programmers, and managers to connect diverse views and envision solutions beyond problem boundaries.
This document discusses contract reviews in software engineering projects. It describes stages of contract review including reviewing proposals before submission and reviewing contracts before signing. It outlines objectives of these reviews such as clarifying requirements, examining risks, and ensuring all agreements are documented correctly. Factors that impact the extent of review include project magnitude, complexity, and experience level. Reviewers can include proposal team members, outside experts, or a separate professional. Checklists are provided for reviewing proposals and contracts. Internal projects within an organization are also discussed as sometimes lacking a full customer-supplier relationship.
Performance testing based on time complexity analysis for embedded softwareMr. Chanuwan
The document discusses performance testing of embedded software based on time complexity analysis. It presents a method to:
1) Statically analyze software modules and compute their time complexity based on architecture design.
2) Collect runtime data from modules during testing to compare actual vs expected time complexity and detect abnormalities.
3) Experiments on an embedded human-machine interface project showed the method can find inconsistencies between design and implementation.
Actions are blocks of statements in a test script that are executed sequentially, with one default action called "Action1" created automatically. When an action is created, it generates files to store object repository, resources, and script data, and adds a sheet to the default data file for that action. Actions allow breaking up test scripts into logical segments that are executed one after the other.
The document discusses messaging and internationalization. It covers messaging using Java Message Service (JMS), including the need for messaging, messaging architecture, types of messaging, messaging models, messaging servers, components of a JMS application, developing effective messaging solutions, and implementing JMS. It also discusses internationalizing J2EE applications.
Determination of Software Release Instant of Three-Tier Client Server Softwar...Waqas Tariq
Quality of any software system mainly depends on how much time testing take place, what kind of testing methodologies are used, how complex the software is, the amount of efforts put by software developers and the type of testing environment subject to the cost and time constraint. More time developers spend on testing more errors can be removed leading to better reliable software but then testing cost will also increase. On the contrary, if testing time is too short, software cost could be reduced provided the customers take risk of buying unreliable software. However, this will increase the cost during operational phase since it is more expensive to fix an error during operational phase than during testing phase. Therefore it is essentially important to decide when to stop testing and release the software to customers based on cost and reliability assessment. In this paper we present a mechanism of when to stop testing process and release the software to end-user by developing a software cost model with risk factor. Based on the proposed method we specifically address the issues of how to decide that we should stop testing and release the software based on three-tier client server architecture which would facilitates software developers to ensure on-time delivery of a software product meeting the criteria of achieving predefined level of reliability and minimizing the cost. A numerical example has been cited to illustrate the experimental results showing significant improvements over the conventional statistical models based on NHPP.
The document discusses software reliability and reliability growth models. It defines software reliability and differentiates it from hardware reliability. It also describes some commonly used software reliability growth models like Musa's basic and logarithmic models. These models make assumptions about fault removal over time to predict how failure rates will change as testing progresses. The key challenges with models are uncertainty and accurately estimating their parameters.
Design Issue(Reuse) in Software Engineering SE14koolkampus
The document discusses various techniques for software reuse, including component-based development, application families, and design patterns. It describes the benefits of reuse such as increased reliability and reduced costs. Different types of reusable components are explained, from whole application systems to individual functions. Requirements for effective reuse include components being reliable, documented, and easily found and adapted.
Design Driven Development (D3) is a simple agile-based methodology that centers software development around innovation and design. D3 turns design practices into a set of games that bring different skills and experiences together to make collaborative design decisions. The games help understand customer needs, question assumptions, design solutions, and experience prototypes. D3 defines roles for various participants including users, business analysts, designers, programmers, and managers to connect diverse views and envision solutions beyond problem boundaries.
This document discusses contract reviews in software engineering projects. It describes stages of contract review including reviewing proposals before submission and reviewing contracts before signing. It outlines objectives of these reviews such as clarifying requirements, examining risks, and ensuring all agreements are documented correctly. Factors that impact the extent of review include project magnitude, complexity, and experience level. Reviewers can include proposal team members, outside experts, or a separate professional. Checklists are provided for reviewing proposals and contracts. Internal projects within an organization are also discussed as sometimes lacking a full customer-supplier relationship.
This document discusses software quality metrics and the costs of software quality. It describes the classic model which classifies quality costs into costs of control (prevention and appraisal) and costs of failure of control (internal and external failures). Prevention costs include investments in infrastructure and regular quality activities. Appraisal costs cover reviews and testing. Internal failures are errors found before release, while external failures are found after. The document provides examples and estimates for various quality metrics.
This document discusses software quality factors and McCall's quality factor model. It describes McCall's three main quality factor categories: product operation factors, product revision factors, and product transition factors. Under product operation factors, it outlines reliability, correctness, integrity, efficiency, and usability requirements. It then discusses product revision factors of maintainability, flexibility, and testability. Finally, it covers product transition factors including portability, reusability, and interoperability. The document provides details on the specific requirements for each quality factor.
Software and hardware reliability are defined differently. Software reliability is the probability that software will operate as required for a specified time in a specified environment without failing, while hardware reliability tends towards a constant value over time and usually follows the "bathtub curve". Ensuring reliability involves testing like fault tree analysis, failure mode effects analysis, and environmental testing for hardware, and techniques like defensive programming, fault detection and diagnosis, and error detecting codes for software. Reliability is measured through metrics like time to failure and failure rates over time.
Verification and Validation (V&V) are used to ensure software quality. Verification confirms that the software meets its design specifications, while Validation confirms it meets the user's requirements. There are different types of reviews conducted at various stages of development to detect defects early. Reviews include informal peer reviews, semiformal walkthroughs, and formal inspections. Standards help improve quality by providing consistent processes and frameworks for software testing.
Verification ensures software meets specifications, while validation ensures it meets user needs. Both establish software fitness for purpose. Verification includes static techniques like inspections and formal methods to check conformance pre-implementation. Validation uses dynamic testing post-implementation. Techniques include defect testing to find inconsistencies, and validation testing to ensure requirements fulfillment. Careful planning via test plans is needed to effectively verify and validate cost-efficiently. The Cleanroom methodology applies formal specifications and inspections statically to develop defect-free software incrementally.
The document discusses software quality assurance (SQA) and defines key terms related to quality. It describes SQA as encompassing quality management, software engineering processes, formal reviews, testing strategies, documentation control, and compliance with standards. Specific SQA activities mentioned include developing an SQA plan, participating in process development, auditing work products, and ensuring deviations are addressed. The document also discusses software reviews, inspections, reliability, and the reliability specification process.
This document discusses software quality, defining it as having three aspects: functional specification, quality specification, and resource specification. It describes factors of product operation quality, product revision quality, and product transition quality. Metrics for measuring qualities like correctness, reliability, efficiency, maintainability, and others are provided. The importance of software quality, intangibility of software, and accumulating errors are noted. Techniques to enhance quality like structured programming and cleanroom development are also summarized.
This document provides an overview of software reliability and summarizes several key aspects:
- Software reliability refers to the probability that software will perform as intended without failure for a specified period of time. It is a component of overall software quality.
- Reliability depends on error prevention, fault detection and removal, and reliability measurements to support these activities throughout the software development lifecycle.
- Common software reliability techniques include testing and using results to inform software reliability growth models, which can predict future reliability. However, these models often lack accuracy.
The document outlines software testing best practices organized into groups:
- The Basic Practices include writing functional specifications, code reviews, test criteria, and automated test execution.
- Foundational Practices involve user scenarios, usability testing, and feedback loops.
- Incremental Practices focus on close collaboration between testers and developers, code coverage, test automation, and testing for quick releases.
The increasing availability of COTS (commercial-off-the-shelf) components in the market of software
development has concretized the opportunity of building whole systems based on previously built components. Component-
Based Software Engineering (CBSE) is an approach which is used to improve efficiency and productivity of software system
with the help of reusability. CBSE approach improves software development productivity and software quality by selecting
pre-existing software components. Reusability in Component-Based Software Development (CBSD) not only reduces the
time to market in development but also brings the cost down of development heavily. This paper represents the challenges
which are faced by software developer during component selection like reliability, time, components size, fault tolerance,
performance, components functionality and components compatibility. This paper also summarizes algorithms used for
component retrieval according to availability of component subset.
The document discusses various types of testing for Internet of Things (IoT) infrastructure. It covers component testing of devices, communications, and computing. It also discusses user experience testing, including usability, target audiences, and user behavior analysis. Finally, it discusses different types of infrastructure testing like integration testing, load testing, compatibility testing, and performance testing to evaluate how the IoT system performs under various conditions.
This document summarizes a research study comparing test-driven development (TDD) to traditional ad-hoc development approaches. The study divided developers into two teams - one using TDD and one using ad-hoc methods. The TDD team produced code with significantly fewer defects across all phases of development and maintenance. Specifically, the TDD approach resulted in 10 defects per thousand lines of code compared to 50 defects using ad-hoc methods. As a result, the TDD approach was found to reduce overall development and maintenance costs by decreasing the number of defects that need to be fixed.
This document summarizes a research study comparing the impact of test-driven development (TDD) versus a traditional ad-hoc approach on software defects and cost. The study involved developing the same software using two teams - one using TDD and one using an ad-hoc approach. The results showed that the TDD approach produced significantly fewer defects across all phases of development and fewer defects during maintenance. As a result, the TDD approach was found to be more cost effective due to the reduced number of defects needing to be fixed.
Design principles & quality factorsAalia Barbe
The document discusses McCall's quality factors model for classifying software quality requirements. It describes the three categories in McCall's model - product operation factors, product revision factors, and product transition factors. Under each category, it lists and describes the specific quality factors, including correctness, reliability, efficiency, integrity, usability, maintainability, flexibility, testability, portability, reusability, and interoperability. It also discusses some alternative models that other researchers have proposed and eight design principles for structuring high-quality software designs.
This document provides an overview of software reliability concepts. It discusses reliability models like the bath tub curve and how software reliability differs by not having a wear-out phase. Key aspects of software reliability covered include failures and faults, reliability measures, the environment and operational profile, and quality attributes. Models of software quality are presented, including McCall's, Boehm's, and ISO 9126, which define characteristics like functionality, reliability, usability, efficiency and more.
Unit Testing vs End-To-End Testing_ Understanding Key Differences.pdfkalichargn70th171
In the complex landscape of software development, ensuring the reliability and functionality of applications is paramount. Two fundamental approaches to achieving this are unit testing and end-to-end testing. Each strategy serves a unique purpose, and together, they form the backbone of a robust software testing regime.
IRJET- A Study on Software Reliability ModelsIRJET Journal
This document summarizes various software reliability models and metrics for evaluating reliability. It discusses existing reliability models, their pros and cons in terms of effort required and whether defect counts are finite. Commonly used metrics to measure reliability are also outlined, including product, project management, process, and failure metrics. The conclusion states that while many models use machine learning, reliability prediction could be further optimized by combining machine learning and fuzzy logic. Future work is proposed to focus on using these techniques to predict reliability in a more effective way.
This document discusses software engineering methodologies. It begins by defining software and software engineering. It then covers the software development life cycle including processes like requirements analysis, design, development, testing and maintenance. It describes various methodologies like waterfall, prototyping, iterative development and agile. Waterfall is a linear sequential model while agile focuses on rapid iteration, customer collaboration and responding to change. The document compares agile and plan-driven methods, noting their different suitability based on factors like project length, team experience and requirements stability.
The document summarizes a feasibility assessment of three candidate systems for an information system project. It describes the operational, technical, economic and schedule feasibility of each candidate. Metrics like functionality, costs, benefits and timelines are evaluated. Candidate 2 scores the highest overall due to fully supporting required functionality, using a mature technology, having the best cost-benefit profile and moderate implementation timeline.
The document discusses several key challenges in software engineering (SE). It notes that SE approaches must address issues of scale, productivity, and quality. Regarding scale, it states that SE methods must be scalable for problems of different sizes, from small to very large, requiring both engineering and project management techniques to be formalized for large problems. Productivity is important to control costs and schedule, and SE aims to deliver high productivity. Quality is also a major goal, involving attributes like functionality, reliability, usability, efficiency and maintainability. Reliability is often seen as the main quality criterion and is approximated by measuring defects. Addressing these challenges of scale, productivity and quality drives the selection of SE approaches.
“Performance testing is the process by which software is tested to determine the current system performance. This process aims to gather information about current performance, but places no value judgments on the findings".
This document discusses software quality metrics and the costs of software quality. It describes the classic model which classifies quality costs into costs of control (prevention and appraisal) and costs of failure of control (internal and external failures). Prevention costs include investments in infrastructure and regular quality activities. Appraisal costs cover reviews and testing. Internal failures are errors found before release, while external failures are found after. The document provides examples and estimates for various quality metrics.
This document discusses software quality factors and McCall's quality factor model. It describes McCall's three main quality factor categories: product operation factors, product revision factors, and product transition factors. Under product operation factors, it outlines reliability, correctness, integrity, efficiency, and usability requirements. It then discusses product revision factors of maintainability, flexibility, and testability. Finally, it covers product transition factors including portability, reusability, and interoperability. The document provides details on the specific requirements for each quality factor.
Software and hardware reliability are defined differently. Software reliability is the probability that software will operate as required for a specified time in a specified environment without failing, while hardware reliability tends towards a constant value over time and usually follows the "bathtub curve". Ensuring reliability involves testing like fault tree analysis, failure mode effects analysis, and environmental testing for hardware, and techniques like defensive programming, fault detection and diagnosis, and error detecting codes for software. Reliability is measured through metrics like time to failure and failure rates over time.
Verification and Validation (V&V) are used to ensure software quality. Verification confirms that the software meets its design specifications, while Validation confirms it meets the user's requirements. There are different types of reviews conducted at various stages of development to detect defects early. Reviews include informal peer reviews, semiformal walkthroughs, and formal inspections. Standards help improve quality by providing consistent processes and frameworks for software testing.
Verification ensures software meets specifications, while validation ensures it meets user needs. Both establish software fitness for purpose. Verification includes static techniques like inspections and formal methods to check conformance pre-implementation. Validation uses dynamic testing post-implementation. Techniques include defect testing to find inconsistencies, and validation testing to ensure requirements fulfillment. Careful planning via test plans is needed to effectively verify and validate cost-efficiently. The Cleanroom methodology applies formal specifications and inspections statically to develop defect-free software incrementally.
The document discusses software quality assurance (SQA) and defines key terms related to quality. It describes SQA as encompassing quality management, software engineering processes, formal reviews, testing strategies, documentation control, and compliance with standards. Specific SQA activities mentioned include developing an SQA plan, participating in process development, auditing work products, and ensuring deviations are addressed. The document also discusses software reviews, inspections, reliability, and the reliability specification process.
This document discusses software quality, defining it as having three aspects: functional specification, quality specification, and resource specification. It describes factors of product operation quality, product revision quality, and product transition quality. Metrics for measuring qualities like correctness, reliability, efficiency, maintainability, and others are provided. The importance of software quality, intangibility of software, and accumulating errors are noted. Techniques to enhance quality like structured programming and cleanroom development are also summarized.
This document provides an overview of software reliability and summarizes several key aspects:
- Software reliability refers to the probability that software will perform as intended without failure for a specified period of time. It is a component of overall software quality.
- Reliability depends on error prevention, fault detection and removal, and reliability measurements to support these activities throughout the software development lifecycle.
- Common software reliability techniques include testing and using results to inform software reliability growth models, which can predict future reliability. However, these models often lack accuracy.
The document outlines software testing best practices organized into groups:
- The Basic Practices include writing functional specifications, code reviews, test criteria, and automated test execution.
- Foundational Practices involve user scenarios, usability testing, and feedback loops.
- Incremental Practices focus on close collaboration between testers and developers, code coverage, test automation, and testing for quick releases.
The increasing availability of COTS (commercial-off-the-shelf) components in the market of software
development has concretized the opportunity of building whole systems based on previously built components. Component-
Based Software Engineering (CBSE) is an approach which is used to improve efficiency and productivity of software system
with the help of reusability. CBSE approach improves software development productivity and software quality by selecting
pre-existing software components. Reusability in Component-Based Software Development (CBSD) not only reduces the
time to market in development but also brings the cost down of development heavily. This paper represents the challenges
which are faced by software developer during component selection like reliability, time, components size, fault tolerance,
performance, components functionality and components compatibility. This paper also summarizes algorithms used for
component retrieval according to availability of component subset.
The document discusses various types of testing for Internet of Things (IoT) infrastructure. It covers component testing of devices, communications, and computing. It also discusses user experience testing, including usability, target audiences, and user behavior analysis. Finally, it discusses different types of infrastructure testing like integration testing, load testing, compatibility testing, and performance testing to evaluate how the IoT system performs under various conditions.
This document summarizes a research study comparing test-driven development (TDD) to traditional ad-hoc development approaches. The study divided developers into two teams - one using TDD and one using ad-hoc methods. The TDD team produced code with significantly fewer defects across all phases of development and maintenance. Specifically, the TDD approach resulted in 10 defects per thousand lines of code compared to 50 defects using ad-hoc methods. As a result, the TDD approach was found to reduce overall development and maintenance costs by decreasing the number of defects that need to be fixed.
This document summarizes a research study comparing the impact of test-driven development (TDD) versus a traditional ad-hoc approach on software defects and cost. The study involved developing the same software using two teams - one using TDD and one using an ad-hoc approach. The results showed that the TDD approach produced significantly fewer defects across all phases of development and fewer defects during maintenance. As a result, the TDD approach was found to be more cost effective due to the reduced number of defects needing to be fixed.
Design principles & quality factorsAalia Barbe
The document discusses McCall's quality factors model for classifying software quality requirements. It describes the three categories in McCall's model - product operation factors, product revision factors, and product transition factors. Under each category, it lists and describes the specific quality factors, including correctness, reliability, efficiency, integrity, usability, maintainability, flexibility, testability, portability, reusability, and interoperability. It also discusses some alternative models that other researchers have proposed and eight design principles for structuring high-quality software designs.
This document provides an overview of software reliability concepts. It discusses reliability models like the bath tub curve and how software reliability differs by not having a wear-out phase. Key aspects of software reliability covered include failures and faults, reliability measures, the environment and operational profile, and quality attributes. Models of software quality are presented, including McCall's, Boehm's, and ISO 9126, which define characteristics like functionality, reliability, usability, efficiency and more.
Unit Testing vs End-To-End Testing_ Understanding Key Differences.pdfkalichargn70th171
In the complex landscape of software development, ensuring the reliability and functionality of applications is paramount. Two fundamental approaches to achieving this are unit testing and end-to-end testing. Each strategy serves a unique purpose, and together, they form the backbone of a robust software testing regime.
IRJET- A Study on Software Reliability ModelsIRJET Journal
This document summarizes various software reliability models and metrics for evaluating reliability. It discusses existing reliability models, their pros and cons in terms of effort required and whether defect counts are finite. Commonly used metrics to measure reliability are also outlined, including product, project management, process, and failure metrics. The conclusion states that while many models use machine learning, reliability prediction could be further optimized by combining machine learning and fuzzy logic. Future work is proposed to focus on using these techniques to predict reliability in a more effective way.
This document discusses software engineering methodologies. It begins by defining software and software engineering. It then covers the software development life cycle including processes like requirements analysis, design, development, testing and maintenance. It describes various methodologies like waterfall, prototyping, iterative development and agile. Waterfall is a linear sequential model while agile focuses on rapid iteration, customer collaboration and responding to change. The document compares agile and plan-driven methods, noting their different suitability based on factors like project length, team experience and requirements stability.
The document summarizes a feasibility assessment of three candidate systems for an information system project. It describes the operational, technical, economic and schedule feasibility of each candidate. Metrics like functionality, costs, benefits and timelines are evaluated. Candidate 2 scores the highest overall due to fully supporting required functionality, using a mature technology, having the best cost-benefit profile and moderate implementation timeline.
The document discusses several key challenges in software engineering (SE). It notes that SE approaches must address issues of scale, productivity, and quality. Regarding scale, it states that SE methods must be scalable for problems of different sizes, from small to very large, requiring both engineering and project management techniques to be formalized for large problems. Productivity is important to control costs and schedule, and SE aims to deliver high productivity. Quality is also a major goal, involving attributes like functionality, reliability, usability, efficiency and maintainability. Reliability is often seen as the main quality criterion and is approximated by measuring defects. Addressing these challenges of scale, productivity and quality drives the selection of SE approaches.
“Performance testing is the process by which software is tested to determine the current system performance. This process aims to gather information about current performance, but places no value judgments on the findings".
Parameter Estimation of GOEL-OKUMOTO Model by Comparing ACO with MLE MethodIRJET Journal
The document presents a comparison of the Ant Colony Optimization (ACO) method and Maximum Likelihood Estimation (MLE) method for parameter estimation of the Goel-Okumoto software reliability growth model. It describes using the ACO and MLE methods to estimate unknown parameters of the Goel-Okumoto model based on ungrouped time domain failure data. The key parameters estimated are a, which represents the expected total number of failures, and b, which represents the failure detection rate. The document aims to determine which of these two parameter estimation methods can best identify failures at early stages of software reliability monitoring.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
The document discusses various techniques for designing fault-tolerant systems, including having a fault-tolerant mindset, performing design tradeoffs that balance reliability and availability, keeping designs simple, and incrementally adding reliability over time. It also covers defensive programming techniques, data structure design, coding standards, redundancy approaches, static analysis tools, and fault insertion testing. The document proposes a six-step fault-tolerant design methodology involving assessing failures, defining risk mitigation strategies, creating system models, making architectural decisions, designing error handling capabilities, and considering human interfaces.
A presentation tries to move the discussion on performance testing from a simple, "will it support x users" to a focus on application optimisation.
This document discusses software testing principles and concepts. It defines key terms like validation, verification, defects, failures, and metrics. It outlines 11 testing principles like testing being a creative task and test results needing meticulous inspection. The roles of testers are discussed in collaborating with other teams. Defect classes are defined at different stages and types of defects are provided. Quality factors, process maturity models, and defect prevention strategies are also summarized.
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3) The Cyclic Model Analysis algorithm is applied to further analyze the patterns, dividing the domain into segments where the distribution function is increasing or decreasing and applying the other techniques recursively to fully model the cyclic behavior.
Performance analysis of manet routing protocol in presenceiaemedu
This document analyzes the performance of different routing protocols in a mobile ad hoc network (MANET) under hybrid traffic conditions. It simulates a MANET with 50 nodes moving at speeds up to 20 m/s using the AODV, DSDV, and DSR routing protocols. Traffic included both constant bit rate and variable bit rate sources. Results found that AODV had lower average end-to-end delay and higher packet delivery ratios than DSDV and DSR as the percentage of variable bit rate traffic increased. AODV also performed comparably under both low and high node mobility scenarios with hybrid traffic.
Performance measurement of different requirements engineeringiaemedu
This document summarizes a research paper that compares the performance of different requirements engineering (RE) process models. It describes three RE process models - two existing linear models and the authors' iterative model. It also reviews literature on common RE activities and issues with descriptive models not reflecting real-world practices. The authors conducted interviews at two Indian companies to model their RE processes and compare them to the three models. They found the existing linear models did not fully capture the iterative nature of observed RE processes.
This document proposes a mobile safety system for automobiles that uses Android operating system. The system has two main components: a safety device and an automobile base unit. The safety device allows users to monitor the vehicle's location on a map, check its status, and control functions remotely. It communicates with the base unit in the vehicle using GPRS. The base unit collects data from sensors, determines the vehicle's GPS location, and can execute control commands like activating the brakes or switching off the engine. The document provides details on the design and algorithms of both components and includes examples of Java code implementation. The goal is to create an intelligent, secure and easy-to-use mobile safety system for vehicles using embedded systems and Android
Efficient text compression using special character replacementiaemedu
The document describes a proposed algorithm for efficient text compression using special character replacement and space removal. The algorithm replaces words with non-printable ASCII characters or combinations of characters to compress text files. It uses a dynamic dictionary to map words to their symbols. Spaces are removed from the compressed file in some cases to further reduce file size. Experimental results show the algorithm achieves better compression ratios than LZW, WinZip 10.0 and WinRAR 3.93 for various text file types while allowing lossless decompression.
The document discusses agile programming and proposes a new methodology. It provides an overview of existing agile methodologies like Scrum and Extreme Programming. Scrum uses short sprints to define tasks and deadlines. Extreme Programming focuses on practices like test-first development, pair programming, and continuous integration. The document notes drawbacks like an inability to support large or multi-site projects. It proposes designing a new methodology that combines the advantages of existing methods while overcoming their deficiencies.
Adaptive load balancing techniques in global scale grid environmentiaemedu
The document discusses various adaptive load balancing techniques for distributed applications in grid environments. It first describes adaptive mesh refinement algorithms that partition computational domains using space-filling curves or by distributing grids independently or at different levels. It also discusses dynamic load balancing using tiling and multi-criteria geometric partitioning. The document then covers repartitioning algorithms based on multilevel diffusion and the adaptive characteristics of structured adaptive mesh refinement applications. Finally, it discusses adaptive workload balancing on heterogeneous resources by benchmarking resource characteristics and estimating application parameters to find optimal load distribution.
A survey on the performance of job scheduling in workflow applicationiaemedu
This document summarizes a survey on job scheduling performance in workflow applications on grid platforms. It discusses an adaptive dual objective scheduling (ADOS) algorithm that takes both completion time and resource usage into account for measuring schedule performance. The study shows ADOS delivers good performance in completion time, resource usage, and robustness to changes in resource performance. It also describes the system architecture used, which includes a planner and executor component. The planner focuses on scheduling to minimize completion time while considering resource usage, and can reschedule if needed. The executor enacts the schedule on the grid resources.
A survey of mitigating routing misbehavior in mobile ad hoc networksiaemedu
This document summarizes existing methods to detect misbehavior in mobile ad hoc networks (MANETs). It discusses how routing protocols assume nodes will cooperate fully, but misbehavior like packet dropping can occur. It describes several techniques to detect misbehavior, including watchdog, ACK/SACK, TWOACK, S-TWOACK, and credit-based/reputation-based schemes. Credit-based schemes use virtual currencies to provide incentives for nodes to forward packets, while reputation-based schemes track nodes' past behaviors. The document aims to survey approaches for mitigating the impact of misbehaving nodes in MANET routing.
A novel approach for satellite imagery storage by classifyiaemedu
This document presents a novel approach for classifying and storing satellite imagery by detecting and storing only non-duplicate regions. It uses kernel principal component analysis to reduce the dimensionality and extract features of satellite images. Fuzzy N-means clustering is then used to segment the images into blocks. A duplication detection algorithm compares blocks to identify duplicate and non-duplicate regions. Only the non-duplicate regions are stored in the database, improving storage efficiency and updating speed compared to completely replacing existing images. Support vector machines are used to categorize the non-duplicate blocks into the appropriate classes in the existing images.
A self recovery approach using halftone images for medical imageryiaemedu
This document summarizes a proposed approach for securely transferring medical images over the internet using visual cryptography and halftone images. The approach uses error diffusion techniques to generate a halftone host image from the grayscale medical image. Shadow images are then created from the halftone host image using visual cryptography algorithms. When stacked together, the shadow images reveal the secret medical image. The halftone host image also contains an embedded logo that can be extracted to verify the integrity of the reconstructed image without a trusted third party.