Tugas ini di buat untuk memenuhi salah satu tugas mata kuliah pada Program Studi S1 Sistem Informasi.
Oleh ;
Nama : Tiara Ramadhani.
NIM ; 11453201723
SIF VII E
UIN SUSKA RIAU
The document discusses several software development life cycle models including waterfall, V-model, iterative, rapid application development (RAD), and agile development. It notes that the life cycle model adopted for a project will impact testing activities by defining what, when, and where testing is done. The V-model incorporates four levels of testing: component, integration, system, and acceptance. Iterative models deliver functionality in increments with regression and integration testing done at each stage. RAD emphasizes early customer feedback. Agile methods like extreme programming (XP) promote practices like pair programming, automated component testing, and daily integration. Good testing practices include corresponding testing for each development activity and starting test design during development.
The document discusses different software development life cycle models and their implications for testing. It describes the waterfall model, V-model, iterative models like RAD and XP. The V-model uses four test levels - component, integration, system and acceptance testing. Iterative models divide delivery into increments with testing at each stage. Whichever model is used, testing activities correspond to development activities and testers are involved from the start.
This document discusses several software development life cycle models and their implications for testing. It describes the V-model, which uses four levels of testing: component, integration, system, and acceptance testing. Iterative life cycles involve multiple smaller development cycles with incremental additions of functionality and regression testing across iterations. Rapid application development encourages active customer feedback and early validation. Agile methods like Extreme Programming integrate testing activities into frequent development cycles with automated unit testing and integration testing occurring daily. Regardless of the model, testing activities should correspond to development and begin during planning to effectively test each level.
The document discusses different software development life cycle models and their associated testing approaches. It describes the waterfall model as one of the earliest sequential models. It then explains the V-model which includes four levels of testing: component, integration, system, and acceptance. The document also discusses iterative and agile models like RAD and XP, noting characteristics like active customer feedback, pair programming, and frequent integration and testing. Finally, it summarizes that for any life cycle model, there should be corresponding testing activities at each stage with specific objectives.
Software development models_rendi_saputra_infosys_USRRendi Saputra
The document discusses various software development life cycle models including the waterfall model, V-model, iterative models, rapid application development, and agile development like extreme programming. It notes that testing is related to development activities and each model implies different testing levels and approaches. For example, the V-model uses four test levels - component, integration, system, and acceptance testing - each with their own objectives.
The document discusses several software development models including the waterfall model, V-model, iterative models, Rapid Application Development (RAD) model, and Agile development models like Extreme Programming (XP). The V-model uses four test levels - component, integration, system, and acceptance testing. Iterative models deliver functionality in increments with each increment tested at several levels. RAD encourages active customer feedback for early visibility and decisions about future development. Agile models like XP promote generating stories to define functionality and on-site customers for continual feedback.
The document discusses various software development models including the waterfall model, V-model, iterative life cycles, rapid application development (RAD), and agile development. The V-model uses four levels of testing: component, integration, system, and acceptance testing. Iterative life cycles involve dividing delivery into increments with each increment adding new functionality and requiring testing. RAD encourages active customer feedback and early delivery of functionality. Agile development promotes business stories, on-site customer involvement, pair programming, and automated testing integrated several times per day.
The document discusses several software development life cycle models including waterfall, V-model, iterative, rapid application development (RAD), and agile development. It notes that the life cycle model adopted for a project will impact testing activities by defining what, when, and where testing is done. The V-model incorporates four levels of testing: component, integration, system, and acceptance. Iterative models deliver functionality in increments with regression and integration testing done at each stage. RAD emphasizes early customer feedback. Agile methods like extreme programming (XP) promote practices like pair programming, automated component testing, and daily integration. Good testing practices include corresponding testing for each development activity and starting test design during development.
The document discusses different software development life cycle models and their implications for testing. It describes the waterfall model, V-model, iterative models like RAD and XP. The V-model uses four test levels - component, integration, system and acceptance testing. Iterative models divide delivery into increments with testing at each stage. Whichever model is used, testing activities correspond to development activities and testers are involved from the start.
This document discusses several software development life cycle models and their implications for testing. It describes the V-model, which uses four levels of testing: component, integration, system, and acceptance testing. Iterative life cycles involve multiple smaller development cycles with incremental additions of functionality and regression testing across iterations. Rapid application development encourages active customer feedback and early validation. Agile methods like Extreme Programming integrate testing activities into frequent development cycles with automated unit testing and integration testing occurring daily. Regardless of the model, testing activities should correspond to development and begin during planning to effectively test each level.
The document discusses different software development life cycle models and their associated testing approaches. It describes the waterfall model as one of the earliest sequential models. It then explains the V-model which includes four levels of testing: component, integration, system, and acceptance. The document also discusses iterative and agile models like RAD and XP, noting characteristics like active customer feedback, pair programming, and frequent integration and testing. Finally, it summarizes that for any life cycle model, there should be corresponding testing activities at each stage with specific objectives.
Software development models_rendi_saputra_infosys_USRRendi Saputra
The document discusses various software development life cycle models including the waterfall model, V-model, iterative models, rapid application development, and agile development like extreme programming. It notes that testing is related to development activities and each model implies different testing levels and approaches. For example, the V-model uses four test levels - component, integration, system, and acceptance testing - each with their own objectives.
The document discusses several software development models including the waterfall model, V-model, iterative models, Rapid Application Development (RAD) model, and Agile development models like Extreme Programming (XP). The V-model uses four test levels - component, integration, system, and acceptance testing. Iterative models deliver functionality in increments with each increment tested at several levels. RAD encourages active customer feedback for early visibility and decisions about future development. Agile models like XP promote generating stories to define functionality and on-site customers for continual feedback.
The document discusses various software development models including the waterfall model, V-model, iterative life cycles, rapid application development (RAD), and agile development. The V-model uses four levels of testing: component, integration, system, and acceptance testing. Iterative life cycles involve dividing delivery into increments with each increment adding new functionality and requiring testing. RAD encourages active customer feedback and early delivery of functionality. Agile development promotes business stories, on-site customer involvement, pair programming, and automated testing integrated several times per day.
Hello~ this is my slide describe about Software Development Models.
Created by: Meychia Hanifah Gaiza - Department of Information System - UIN Suska Riau
The document discusses several software development life cycle models and their implications for testing. It describes the waterfall model, V-model, iterative models, Rapid Application Development (RAD) model, and Agile development models like Extreme Programming (XP). For each model, it explains the development process and when different types of testing like component, integration, system, and acceptance testing typically occur. Finally, it emphasizes that good testing involves corresponding testing activities for each development activity and defining objectives for each test level.
02 testing throughout the software life cycleIlham Wahyudi
The document discusses software testing throughout the software development life cycle. It describes different software development models like the waterfall model and V-model. The V-model addresses issues with the waterfall model by integrating testing activities into each phase of development. There are four main test levels in the V-model: component, integration, system, and acceptance testing. Iterative development models like RAD and agile development use incremental builds with testing at each iteration. Regardless of the life cycle model, testing activities should correspond to development activities at each phase.
Testing Throughout The Software Life Cycleelvira munanda
Testing is not a stand-alone activity. It has its place within a software development life cycle model and therefore the life cycle applied will largely determine how testing is organized
Software Development Models by Graham et alEmi Rahmi
Software Development Models - Graham et al Foundation of Software Testing
http://sif.uin-suska.ac.id/
http://fst.uin-suska.ac.id/
http://www.uin-suska.ac.id/
Software Development Models - Graham et al Foundation of Software Testing
http://sif.uin-suska.ac.id/
http://fst.uin-suska.ac.id/
http://www.uin-suska.ac.id/
Software Development Models - Testing and Implementation System - Apridila An...Apridila Anggita Suri
Apridila Anggita Suri (NIM.11453205120)
Information System Departement
Science and Technology Faculty
State Islamic University of Sultan Syarif Kasim Riau
This document provides an overview of the V-model, a software development lifecycle model. It describes the key phases of requirements, high-level design, low-level design, implementation, and coding. Testing occurs in parallel with each development phase. The V-model is best for projects with clearly defined requirements and available technical expertise. It allows for testing to begin earlier compared to waterfall. However, it is rigid and changes require updating documentation.
A detailed-look-at-v-model-in-software-testingpooja deshmukh
V-model in software testing means Verification and Validation model. Much the same as the waterfall model, the V-Shaped life cycle is a consecutive path of execution of procedures. Every stage must be completed before the following stage starts. Testing of the product is arranged in parallel with a parallel stage of development in V-model.
The document discusses different software development life cycle models and their implications for testing. It describes the waterfall model, V-model, iterative models like RAD and agile development. The key points are:
- The development life cycle model impacts the what, when and how of testing.
- The V-model improved on the waterfall model by integrating testing activities at each phase.
- Iterative models involve incremental development in cycles, requiring regression and integration testing at each increment.
- Testing should have corresponding activities to development and begin reviewing documents as early as possible in the life cycle.
Testing Throughout the Software Life Cycle part.1 - Andika Dwi Ary CandraAnd11ka
The document discusses testing throughout the software development life cycle. It describes how testing is integrated within different software development models like the waterfall model and V-model. The V-model improves on the waterfall model by starting testing earlier. Testing occurs at different levels - component, integration, system, and acceptance testing. The appropriate development process depends on the project's goals and characteristics.
The V Model is a software testing framework where testing is performed in parallel with development. It consists of four main testing stages: unit testing, integration testing, system testing, and acceptance testing. Testing begins with unit testing as coding is completed, then progresses through integration and system testing, culminating in acceptance testing. The V Model is best suited for small, clearly-defined projects where requirements are stable, as it allows testing activities to begin early and find defects quickly. However, it provides less flexibility to make changes and can take more time if initial requirements are unclear.
The V-Model is a software development model that depicts the relationships between system requirements, design, and testing. It emphasizes testing at each development stage with testing occurring in reverse order that modules are developed (top-down). The V-Model includes requirements analysis and system design at the beginning, followed by module design, integration, validation, and operation. Each stage establishes entry and exit criteria and is tested in turn before proceeding to the next stage. Benefits include reduced faults, improved quality, and validation at each stage, while disadvantages include high costs and rigidity.
Testing throughout the software life cycleyahdi sandra
YAHDI SANDRA
1143104752
Program Studi S1 Sistem Informasi
Fakultas Sains dan Teknologi
Universitas Islam Negeri Sultan Syarif Kasim Riau
http://sif.uin-suska.ac.id/
http://fst.uin-suska.ac.id/
http://www.uin-suska.ac.id/
Testing Throughout The Software Life CycleSiti Rubayati
The document discusses software testing throughout the software development life cycle. It describes four main test levels in the V-model: component testing, system testing, integration testing, and acceptance testing. It also discusses iterative and agile development models like Rapid Application Development, Dynamic System Development Methodology, and Extreme Programming. These models emphasize iterative development, customer feedback, and testing code frequently throughout development. The document stresses that testing activities should correspond to development activities at each stage of the software life cycle.
This document discusses software life cycle models, including the waterfall, incremental, evolutionary (prototyping), and spiral models. It describes the common phases of software development like requirements, design, implementation, testing, deployment, and maintenance. The waterfall model is a traditional sequential approach, while other models allow for more iterative development and flexibility. Selection of the appropriate model depends on factors like the project and level of risk.
Testing is not a stand-alone activity. It has its place within a software development life cycle model and therefore the life cycle applied will largely determine how testing is organized.
Hello~ this is my slide describe about Software Development Models.
Created by: Meychia Hanifah Gaiza - Department of Information System - UIN Suska Riau
The document discusses several software development life cycle models and their implications for testing. It describes the waterfall model, V-model, iterative models, Rapid Application Development (RAD) model, and Agile development models like Extreme Programming (XP). For each model, it explains the development process and when different types of testing like component, integration, system, and acceptance testing typically occur. Finally, it emphasizes that good testing involves corresponding testing activities for each development activity and defining objectives for each test level.
02 testing throughout the software life cycleIlham Wahyudi
The document discusses software testing throughout the software development life cycle. It describes different software development models like the waterfall model and V-model. The V-model addresses issues with the waterfall model by integrating testing activities into each phase of development. There are four main test levels in the V-model: component, integration, system, and acceptance testing. Iterative development models like RAD and agile development use incremental builds with testing at each iteration. Regardless of the life cycle model, testing activities should correspond to development activities at each phase.
Testing Throughout The Software Life Cycleelvira munanda
Testing is not a stand-alone activity. It has its place within a software development life cycle model and therefore the life cycle applied will largely determine how testing is organized
Software Development Models by Graham et alEmi Rahmi
Software Development Models - Graham et al Foundation of Software Testing
http://sif.uin-suska.ac.id/
http://fst.uin-suska.ac.id/
http://www.uin-suska.ac.id/
Software Development Models - Graham et al Foundation of Software Testing
http://sif.uin-suska.ac.id/
http://fst.uin-suska.ac.id/
http://www.uin-suska.ac.id/
Software Development Models - Testing and Implementation System - Apridila An...Apridila Anggita Suri
Apridila Anggita Suri (NIM.11453205120)
Information System Departement
Science and Technology Faculty
State Islamic University of Sultan Syarif Kasim Riau
This document provides an overview of the V-model, a software development lifecycle model. It describes the key phases of requirements, high-level design, low-level design, implementation, and coding. Testing occurs in parallel with each development phase. The V-model is best for projects with clearly defined requirements and available technical expertise. It allows for testing to begin earlier compared to waterfall. However, it is rigid and changes require updating documentation.
A detailed-look-at-v-model-in-software-testingpooja deshmukh
V-model in software testing means Verification and Validation model. Much the same as the waterfall model, the V-Shaped life cycle is a consecutive path of execution of procedures. Every stage must be completed before the following stage starts. Testing of the product is arranged in parallel with a parallel stage of development in V-model.
The document discusses different software development life cycle models and their implications for testing. It describes the waterfall model, V-model, iterative models like RAD and agile development. The key points are:
- The development life cycle model impacts the what, when and how of testing.
- The V-model improved on the waterfall model by integrating testing activities at each phase.
- Iterative models involve incremental development in cycles, requiring regression and integration testing at each increment.
- Testing should have corresponding activities to development and begin reviewing documents as early as possible in the life cycle.
Testing Throughout the Software Life Cycle part.1 - Andika Dwi Ary CandraAnd11ka
The document discusses testing throughout the software development life cycle. It describes how testing is integrated within different software development models like the waterfall model and V-model. The V-model improves on the waterfall model by starting testing earlier. Testing occurs at different levels - component, integration, system, and acceptance testing. The appropriate development process depends on the project's goals and characteristics.
The V Model is a software testing framework where testing is performed in parallel with development. It consists of four main testing stages: unit testing, integration testing, system testing, and acceptance testing. Testing begins with unit testing as coding is completed, then progresses through integration and system testing, culminating in acceptance testing. The V Model is best suited for small, clearly-defined projects where requirements are stable, as it allows testing activities to begin early and find defects quickly. However, it provides less flexibility to make changes and can take more time if initial requirements are unclear.
The V-Model is a software development model that depicts the relationships between system requirements, design, and testing. It emphasizes testing at each development stage with testing occurring in reverse order that modules are developed (top-down). The V-Model includes requirements analysis and system design at the beginning, followed by module design, integration, validation, and operation. Each stage establishes entry and exit criteria and is tested in turn before proceeding to the next stage. Benefits include reduced faults, improved quality, and validation at each stage, while disadvantages include high costs and rigidity.
Testing throughout the software life cycleyahdi sandra
YAHDI SANDRA
1143104752
Program Studi S1 Sistem Informasi
Fakultas Sains dan Teknologi
Universitas Islam Negeri Sultan Syarif Kasim Riau
http://sif.uin-suska.ac.id/
http://fst.uin-suska.ac.id/
http://www.uin-suska.ac.id/
Testing Throughout The Software Life CycleSiti Rubayati
The document discusses software testing throughout the software development life cycle. It describes four main test levels in the V-model: component testing, system testing, integration testing, and acceptance testing. It also discusses iterative and agile development models like Rapid Application Development, Dynamic System Development Methodology, and Extreme Programming. These models emphasize iterative development, customer feedback, and testing code frequently throughout development. The document stresses that testing activities should correspond to development activities at each stage of the software life cycle.
This document discusses software life cycle models, including the waterfall, incremental, evolutionary (prototyping), and spiral models. It describes the common phases of software development like requirements, design, implementation, testing, deployment, and maintenance. The waterfall model is a traditional sequential approach, while other models allow for more iterative development and flexibility. Selection of the appropriate model depends on factors like the project and level of risk.
Testing is not a stand-alone activity. It has its place within a software development life cycle model and therefore the life cycle applied will largely determine how testing is organized.
Bab ini membahas model pengembangan perangkat lunak yang paling umum diterapkan, tingkat uji dan jenis uji. Pemeliharaan dapat dilihat sebagai contoh spesifik dari suatu proses pembangunan.
Comparing Various SDLC Models On The Basis Of Available MethodologyIJMER
There are various SDLC models widely accepted and employed for developing software.
SDLC models give a theoretical guide line regarding development of the software. Employing proper
SDLC allows the managers to regulate whole development strategy of the software. Each SDLC has its
advantages and disadvantages making it suitable for use under specific condition and constraints for
specified type of software only. We need to understand which SDLC would generate most successful
result when employed for software development. For this we need some method to compare SDLC
models. Various methods have been suggested which allows comparing SDLC models. Comparing SLDC
models is a complex task as there is no mathematical theorem or physical device available. The essence
of this paper is to analyse some methodologies that could result in successful comparison of the SDLC
models. For this we have studied various available tools, techniques and methodologies and have tried
to extract most simple, easy and highly understandable method for comparing SDLC models.
testing throughout the software life cycleRiat Rayendra
testing throughout the software life cycle
RiatRayendra
11453101916
Information System
Faculty Sains and Technology
UIN Suska Riau
http://sif.uin-suska.ac.id/
http://fst.uin-suska.ac.id/
http://www.uin-suska.ac.id/
The document discusses software maintenance and its relationship to software testing. It explains that software maintenance is less understood than development due to its different characteristics, including randomly occurring work requests and a focus on user services. It also discusses the importance of software maintenance for controlling system functions and modifications. The document then explains that software testing is important for software maintenance as regression testing verifies modifications do not cause unintended effects, but testing can be difficult to coordinate and schedule.
This document provides an overview of software development life cycle (SDLC) models and their comparison. It discusses several SDLC models including waterfall, V-shaped, iterative, prototyping, RAD, spiral and agile. Each model is described in terms of its phases, advantages and disadvantages. The document also presents related work from other scholars and states that while agile was not fully extreme programming, using Scrum principles resulted in return on investment and lower costs. It proposes future work to identify knowledge sharing procedures and user-centered SDLC models that overcome limitations of existing approaches.
The document discusses different software process models used in software development. It describes the waterfall model as a linear sequential process moving from requirements to design to development and so on. The iterative model develops software incrementally in iterations to add more features. The V model maps each development phase to a testing phase. Other models discussed include RAD, spiral and agile models.
1) Testing occurs throughout the software development life cycle and is organized based on the life cycle model used, such as the waterfall or V-model.
2) There are multiple levels of testing including component, integration, system, and acceptance testing. Each level has specific objectives such as verifying components or validating user needs.
3) Iterative life cycle models, like RAD and agile development, involve multiple shorter development phases with corresponding testing activities in each phase.
This is about software engineering.Software engineers apply engineering principles and knowledge of programming languages to build software solutions for end users. Software engineers design and develop computer games, business applications, operating systems, network control systems, and middleware—to name just a few of the many career paths available.
Software development is a process that involves planning, designing, coding, testing, and maintaining software. It includes identifying requirements, analyzing requirements, designing the software architecture and components, programming, testing, and maintaining the software. There are various software development models that guide the process, such as waterfall, rapid application development, and agile development. Choosing the right development model and tools, clearly defining requirements, managing changes, and testing thoroughly are important best practices for successful software projects.
The document presents information on the Software Development Life Cycle (SDLC), including:
1) It describes the seven main phases of the SDLC - planning, analysis, design, development, testing, implementation, and maintenance.
2) It discusses several SDLC models like waterfall, iterative, prototyping, spiral and V-model and compares their strengths and weaknesses.
3) It emphasizes the important role of testing in the SDLC and describes different testing types done during the phases.
This document discusses various software development life cycle models including the V-Model, Prototyping Model, Extreme Programming, Synchronize-and-Stabilize Model, Fountain Model, and Spiral Model. It provides an overview and description of each model, outlining their key characteristics, advantages, and disadvantages. The models are classified based on features of software projects to determine the most appropriate life cycle approach.
The document describes various software development life cycle (SDLC) models. It discusses the waterfall model, iterative model, spiral model, V-model, and big bang model. For each model, it provides an overview of the design, typical application scenarios, and pros and cons. The key stages of the waterfall model are outlined in detail, including planning, requirements, design, implementation, testing, deployment, and maintenance.
Presentasi testing throughout the software life cycle 2Egi Ilham Elnusa
Testing occurs throughout the software development life cycle and takes different forms at different stages. There are four main test levels: component testing, integration testing, system testing, and acceptance testing. Component testing checks individual software units, integration testing checks interfaces between components, system testing evaluates the entire system, and acceptance testing validates user requirements. The document discusses different software development models like the V-model and agile development, noting that testing activities correspond to development stages in each model.
Similar to Tiara Ramadhani - Program Studi S1 Sistem Informasi - Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau. (16)
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
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Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Monitoring Java Application Security with JDK Tools and JFR Events
Tiara Ramadhani - Program Studi S1 Sistem Informasi - Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau.
1. SOFTWARE DEVELOPMENT MODELS
TIARA RAMADHANI
PROGRAM STUDI SISTEM INFORMASI
FAKULTAS SAINS DAN TEKNOLOGI
UNIVERSITAS SULTAN SYARIF KASIM RIAU
2. SOFTWARE DEVELOPMENT MODELS
• The life cycle model that is adopted for a project will
have a big impact on the testing that is carried out.
• Testing does not exist in isolation; test activities are
highly related to software development activities. It will
define the what, where, and when of our planned
testing, influence regression testing, and largely
determine which test techniques to use.
3. V-model
Before discussing the V-model, we will
look at the model which came before it.
The waterfall model was one of the
earliest models to be designed. It has a
natural timeline where tasks are executed
in a sequential fashion. We start at the top
of the waterfall with a feasibility study
and flow down through the various
project tasks finishing with
implementation into the live environment.
Design flows through into development,
which in turn flows into build, and finally
on into test.
4. Next…
Although variants of the V-model exist, a common type of V-model uses four
test levels. The four test levels used, each with their own objectives, are:
component testing: searches for defects in and verifies the functioning of
software components (e.g. modules, programs, objects, classes etc.) that
are separately testable;
integration testing: tests interfaces between components, interactions to
different parts of a system such as an operating system, file system and
hard ware or interfaces between systems;
system testing: concerned with the behavior of the whole system/product as
defined by the scope of a development project or product. The main focus
of system testing is verification against specified requirements;
acceptance testing: validation testing with respect to user needs, require
ments, and business processes conducted to determine whether or not to
accept the system.
5. Next..
Note that the types of work products mentioned in Figure 2.2 on the left
side of the V-model are just an illustration. In practice they come under
many different names. References for generic work products include the
Capability Maturity Model Integration (CMMi) or the 'Software life
cycle processes' from ISO/IEC 12207.
6. Iterative Life Cycles
Not all life cycles are sequential. There are also iterative or incremental life
cycles where, instead of one large development time line from beginning to
end, we cycle through a number of smaller self-contained life cycle phases
for the same project. As with the V-model, there are many variants of
iterative life cycles.
7. Next…
A common feature of iterative approaches is that the delivery is divided into
increments or builds with each increment adding new functionality. The
initial increment will contain the infrastructure required to support the initial
build functionality. The increment produced by an iteration may be tested at
several levels as part of its development. Subsequent increments will need
testing for the new functionality, regression testing of the existing
functionality, and integration testing of both new and existing parts.
Regression testing is increasingly important on all iterations after the first
one. This means that more testing will be required at each subsequent
delivery phase which must be allowed for in the project plans.
8. Next…
o Rapid Application Development
Rapid Application Development (RAD) is formally a parallel development of
functions and subsequent integration
9. Next..
The RAD development process encourages active customer feedback. The
customer gets early visibility of the product, can provide feedback on the
design and can decide, based on the existing functionality, whether to
proceed with the development, what functionality to include in the next
delivery cycle or even to halt the project if it is not delivering the expected
value. An early business-focused solution in the market place gives an
early return on investment (ROI) and can provide valuable marketing
information for the business. Validation with the RAD development process
is thus an early and major activity.
10. Next…
o Agile development
Extreme Programming (XP) is currently one of the most well-known agile
development life cycle models. (See [Agile] for ideas behind this
approach.) The methodology claims to be more human friendly than
traditional development methods. Some characteristics of XP are:
o It promotes the generation of business stories to define the functionality.
o It demands an on-site customer for continual feedback and to define and
carry out functional acceptance testing .
o It promotes pair programming and shared code ownership amongst the
developers.
o It states that component test scripts shall be written before the code is
written and that those tests should be automated.
o It states that integration and testing of the code shall happen several times
a day.
o It states that we always implement the simplest solution to meet today's
problems.
11. Testing Within A Life Cycle Model
o In summary, whichever life cycle model is being used, there are several
characteristics of good testing:
o for every development activity there is a corresponding testing activity;
o each test level has test objectives specific to that level;
o the analysis and design of tests for a given test level should begin during
the corresponding development activity;
o testers should be involved in reviewing documents as soon as drafts are
avail able in the development cycle.