Top Eight Software Development Trends for 2024

The software development sector is always running. New technologies are always changing how we create, implement, and use software. This swift pace produces a dynamic environment full of opportunities but also requires constant learning and adjustment. This article discusses the eight top trends for 2024 so readers can keep up.

Developers must constantly learn about new trends and technologies to stay ahead of their peers in the ever-changing tech business. This will help them become valuable assets for future job opportunities and improve their problem-solving capabilities. Emerging trends frequently introduce new techniques and technologies. Understanding these developments gives developers access to a greater variety of ways to solve challenging issues. They can tackle problems more creatively and from a different angle. Developers can guarantee their skill set stays relevant in the always-evolving job market and prevent themselves from getting stuck in the past by remaining current.

This article explores the top 8 trends that will shape 2024, providing an overview of the fascinating future of software development.

Brief Overview of the Top 8 Software Development Trends for 2024

In 2024, the software development landscape is undergoing a profound transformation, driven by a convergence of technological advancements and evolving market dynamics. These changes reshape how software is designed, developed, and deployed, influencing every aspect of the development lifecycle. 2024’s top 8 software development trends include:

• Artificial Intelligence and Machine Learning (AI/ML)
• Quantum Computing
• Blockchain and Decentralized Applications (DApps)
• Low-Code and No-Code Development
• Internet of Things (IoT) and Edge Computing
• Cybersecurity and Privacy
• DevOps and CI/CD
• Progressive Web Applications (PWAs)

These trends are reshaping the software development landscape, offering new opportunities and challenges for developers. By staying informed and embracing these trends, developers can position themselves for success in the rapidly evolving tech industry of 2024 and beyond.

Artificial Intelligence and Machine Learning (AI/ML)

Artificial intelligence (AI) and machine learning (ML) are not just science-fiction ideas; they are drastically changing the software development sector. For instance, ML algorithms can automate testing, debug procedures, and also examine application performance data to identify possible problems early on, while AI-powered code generators can help developers write code.

source(https://nietm.in/courses/computer-science-engineering-aiml)

AI and ML have a significant impact outside of the main development process. Here’s a look at some of the creative software solutions these technologies are using to transform a variety of industries:

• Healthcare: AI systems can assess patient data and medical images to help doctors diagnose illnesses more quickly and accurately. ML helps expedite the drug discovery process by analyzing and predicting prospective drug candidates from large datasets of chemical structures.
• Retail: Retailers can improve inventory management by using ML algorithms to predict future demand for certain products by analyzing sales data and market trends. Chatbots driven by AI are capable of handling basic transactions, responding to product questions, and offer 24/7 customer service.
• Automotive: AI is utilized in traffic management, driver behavior monitoring, predictive maintenance, and autonomous driving. ML algorithms analyze sensor data to increase vehicle efficiency and safety.

Impactful AI-driven Innovations in Development Processes

Software development methods are being fundamentally changed by AI, which is spurring innovation in several important areas:

• Supercharged Bug Squashing and Fixing: AI can examine large codebases to find patterns frequently resulting in bugs. Then, using knowledge from previous corrections, ML algorithms can proactively identify and stop the recurrence of related problems. This results in more reliable and secure software in addition to cutting down on the amount of development time needed for debugging.
• Enhanced Security: AI can help strengthen security protocols by quickly identifying and addressing cyber threats. AI systems can analyze massive data sets to find patterns that point to criminal activity.
• Democratization of Growth: AI-powered low-code and no-code platforms enable non-programmers to create simple apps. With the help of these platforms’ drag-and-drop interfaces and pre-built components, even those without much technical knowledge can realize their ideas. Within organizations, this encourages citizen development and creativity.

Quantum Computing

source(https://www.helpnetsecurity.com/2023/11/09/quantum-computers-security/)

Quantum computing, a novel technology, can potentially solve many of the challenges currently thought to be computationally unsolvable. Quantum computers leverage the use of quantum bits, or qubits, which can represent and process information in several states at once, in contrast with classical computers that use bits, which are the smallest unit of information (0 or 1). Cryptography is one of the most important areas where quantum computing can be used. There is a need for new, quantum-resistant encryption techniques because many of the cryptographic systems in use today could be compromised by quantum computers.

Current Breakthroughs and Developments in Quantum Tech

The realm of quantum computing has transcended from science fiction to reality. Even while quantum technology is still in its infancy, major discoveries are advancing it at an exciting rate. Here is a sneak peek at some of the most recent developments:

• Quantum Sensing: More sensitive sensors are being created using quantum technology for uses in environmental monitoring, navigation, and medical imaging. Additionally, methods for measuring with greater accuracy are being explored in quantum metrology.
• Better Error Correction: To reduce the errors that may arise during quantum calculations, quantum error correction methods are being improved. This is crucial to guarantee that the results are accurate.
• Quantum Tech for Drug Discovery: By using quantum computers to simulate chemicals, researchers may better understand how these compounds interact with biological systems and use that knowledge to design and develop new drugs.

Implications for Software Development and Future Applications

The potential of quantum computing has much more promise than merely being able to solve challenging issues. It can radically alter both the kinds of apps we may make and the way software is built. Here are some potential effects of quantum computing on software development in the future:

• Unleashing the Power of AI: By facilitating the creation of more potent ML algorithms, quantum computing has the potential to greatly improve AI. Imagine AI models that are trained on enormous datasets that are imitated by quantum computers, resulting in advances in image recognition and natural language processing, among other fields.
• Quantum-safe Cryptography (QSC): QSC algorithms are necessary because of the possibility that quantum computers will be able to crack existing encryption techniques. To guarantee the security of their apps, software developers will need to adjust to these new algorithms.

As research advances, cooperation between developers of quantum hardware and software will be essential to realizing the full potential of this revolutionary technology.

Not only are these AI-driven advancements accelerating development times, but they are also radically altering the process of creating software. AI is assisting developers in creating software that is smarter, more effective, and more focused on the needs of the user by automating chores, enhancing code quality, optimizing performance, personalizing experiences, and anticipating challenges.

Blockchain and Decentralized Applications (DApps)

Imagine a world where apps are user-controlled, tamper-proof by design, and run without needing a centralized authority. DApps hold the potential to do this, and blockchain technology is essential to bring it to pass. Because it offers a safe, open, and unchangeable ledger for storing data and transactions, blockchain is essential to DApps. Here’s how blockchain contributes to the development and operation of DApps:

• Tokenization: Digital tokens, which can stand in for assets, ownership rights, or access permissions within a DApp, can be created and managed using blockchain technology. Tokens can be used to control the DApp’s operations, ease transactions, and provide user incentives.
• Automation: By automating actions and procedures inside a DApp, smart contracts guarantee consistent rule execution and do away with the need for manual intervention.
• Security: DApps are extremely secure due to the distributed and unchangeable nature of blockchain technology. Data manipulation or hacking on a blockchain is very hard, if not impossible.

Two fascinating trends that have emerged as a result of the growth of blockchain technology are Non-Fungible Tokens (NFTs) and Decentralized Finance (DeFi). Let’s examine how these developments are changing digital ownership and financial transactions.

Non-Fungible Tokens (NFTs)

source(https://medium.com/coinmonks/what-is-an-nft-and-how-does-it-works-1f85a5734f84)

NFTs are unique digital assets that represent ownership of a specific item or piece of content, such as music, artwork, and even in-game objects, which are special digital tokens. NFTs offer a permanent and authentic record of ownership for digital assets since they are kept on a blockchain, unlike cryptocurrencies like Bitcoin or Ethereum, which are fungible and can be swapped for one another. This guarantees authenticity and eliminates counterfeiting.

Musicians, artists, and other creators can open up new revenue sources by selling their digital works directly to fans and collectors using NFTs. NFT markets promote a thriving digital asset economy by enabling users to purchase, sell, and trade NFTs.

Decentralized Finance (DeFi)

source(https://www.kiplinger.com/investing/cryptocurrency/604902/the-defi-dictionary-your-guide-to-decentralized-finance)

DeFi is an acronym for decentralized financial services that do not require traditional financial intermediaries to provide typical financial products like trading, savings accounts, and loans using blockchain technology. DeFi systems are always changing and offering a wide range of financial services and products, such as yield farming, decentralized exchanges (DEXs), and lending protocols.

Using cryptocurrencies and smart contracts, DeFi users may lend, borrow, and trade with each other directly. By doing this, the costs and inefficiencies connected to conventional financial institutions are removed. Regardless of location or financial situation, anyone with an internet connection can take part in DeFi. This encourages people who might not be able to access traditional banking institutions to become financially included.

Opportunities for Enhanced Security

Blockchain’s intrinsic security characteristics—transparency, immutability, and decentralization—offer improved security for a range of uses. The danger of fraud and manipulation can be greatly decreased by implementing blockchain in applications such as financial transactions, voting systems, and supply chain management.

Blockchain technology provides considerable benefits for DApp security. However, to counter new threats and guarantee the security of user funds and data, ongoing attention to detail and preventative actions are required. As the DApp ecosystem develops, the development of a more reliable and secure environment for Dapps will depend heavily on cooperation between users, security researchers, and developers.

Low-Code and No-Code Development

A change is occurring in the software development industry, thanks to low-code and no-code (LCNC) platforms acting as effective instruments, enabling persons with little to no knowledge of coding, commonly referred to as citizen developers, to create apps alongside more experienced developers.

Platforms for LC development offer a visual development environment with pre-built components and drag-and-drop capability. Although these platforms drastically cut down on the amount of code that must be produced, they still demand some awareness of programming concepts.

Users with little to no coding knowledge are intended for usage with NC platforms. They provide a very user-friendly interface with pre-made functionality and templates that let customers create apps without knowing how to write code. Here’s how the emergence of these platforms is impacting workflows:

• Empowerment of Citizen Developers: LCNC platforms enable internal developers to construct apps suited to their requirements. Professional developers can now concentrate on complex tasks and important projects.
• Increased Partnership: Collaboration between business users and technical professionals is made easier by LCNC platforms. IT specialists can offer advice and assistance in developing the applications, while business users can simply convey their needs and ideas.
• Development Accelerated: By eliminating the need for human coding, LCNC platforms allow for the development of applications more quickly. As a result, organizations can develop and implement apps more quickly, cutting down on time-to-market (TTM).

Advantages for Rapid Prototyping and Iteration

Platforms that combine LCNC are revolutionizing software development, especially when it comes to fast prototyping and iteration. The following are some ways that LCNC platforms quicken the idea-to-action process:

• Decreased Cost: Compared to traditional development techniques, rapid prototyping and iteration. Using LCNC platforms can be more affordable. Businesses can cut development costs by decreasing the demand for experienced developers and shortening the development time. Shorter Iteration Time: Iteration is powered by feedback. Thanks to LCNC platforms, prototypes can be easily modified depending on customer feedback. Changes can be made quickly because you’re not fumbling with complicated code, which lets you iterate quickly and improve your idea effectively.
• Flexibility: These platforms provide a high degree of customization and system integration flexibility. Without having to start from scratch, users can simply edit their applications and add new features as needed.

Challenges and Considerations for Adoption

Although LCNC development platforms have numerous benefits, before using these platforms, businesses should be aware of the following issues and challenges:

• Platform Security: The LCNC platform’s security features directly affect the security of your apps. Examine the platform’s compliance certifications and security records with care.
• Future Compatibility: Take into account the platform’s sustainability over time. If you ever want to switch platforms, will it be easy to transfer your applications?
• Vendor Lock-in: When an organization chooses a particular LCNC platform, it may lead to vendor lock-in, which makes the platform and its ecosystem indispensable. Businesses should assess the long-term effects of vendor lock-in and take precautions against this risk.
• Complexity of Integration: It can be difficult to integrate LCNC applications with current systems. Make sure the platform has the APIs and connections needed to interface with your IT system without a hitch.
• Hidden Costs: Although developing on LCNC platforms can be affordable, there may be unanticipated expenses related to maintenance, integrations, and licensing. When assessing the total ROI, take these charges into account.

Through careful consideration of these challenges and customization to your requirements, you can harness the potential of LCNC platforms to expedite development, enable citizen developers, and realize your creative visions. Recall that although LCNC is a useful tool in the development toolbox, it must be used with caution.

Internet of Things (IoT) and Edge Computing

source(https://industlabs.com/news/Internet-of-Things)

The way people engage with technology has changed dramatically in recent years due to the rapid evolution of Edge Computing and the Internet of Things (IoT). The idea of the IoT was born when gadgets began to be connected to the Internet in the early 1980s and 1990s. However, the phrase “Internet of Things” didn’t become well-known until the early 2000s. To lower latency and bandwidth consumption, it is necessary to process the increasing amount of data created by IoT devices closer to the source. The necessity for interoperability and standardization became evident as IoT devices grew. Several organizations, including the Institute of Electrical and Electronics Engineers (IEEE) and the Internet Engineering Task Force (IETF), created standards to guarantee that IoT devices could easily communicate with one another. Edge computing—where data is processed and analyzed on devices or at the edge of the network instead of in a centralized data center—rose as a result of this.

IoT development has been greatly aided by AL and ML. With the use of these technologies, IoT devices can become more intelligent and self-sufficient, which opens up new possibilities for applications like industrial automation, healthcare, and smart homes.

Industrial Automation

Real-time monitoring and control of industrial processes is made possible by IoT and Edge Computing, which is redefining industrial automation. IoT sensors can gather data from machinery and other devices, which is subsequently processed at the edge to enhance productivity, lower downtime, and optimize operations. Predictive maintenance, for instance, makes use of IoT data to forecast the likelihood that equipment may malfunction, enabling repair to be planned ahead of time.

Smart Homes

source(https://illustrarch.com/articles/16722-the-future-of-smart-homes.html)

IoT devices are turning conventional houses into smart homes by linking a variety of gadgets and equipment. Remote control functionality makes these gadgets convenient and energy-efficient. Smart lights can be controlled with your phone or voice, smart security systems can watch your home and notify you of any suspicious behavior, and smart thermostats can learn your schedule and adjust the temperature accordingly.

Healthcare

IoT and Edge Computing are lowering expenses and enhancing patient care in the healthcare industry. Wearable sensors and other IoT devices can track vital signs and gather health data, which is evaluated at the edge to deliver real-time insights. This may result in remote patient monitoring, early health issue detection, and individualized treatment regimens. Furthermore, medication adherence and patient outcomes can be enhanced via IoT-enabled smart medical equipment, such as drug dispensers and insulin pumps.

Edge computing and advanced connected devices work together to build a strong foundation that has the potential to revolutionize several sectors. These developments could greatly enhance our lives by, among other things, simplifying industrial operations, improving healthcare service, and building smart, efficient houses.

Integration into Software Development for Real-Time Analysis

There are several things to keep in mind while integrating Edge computing into real-time analysis software development:

• Data Management: Reduce bandwidth consumption by preprocessing and filtering data at the edge to reduce the volume of data sent to the cloud. Locally cache frequently requested data to enhance responsiveness and speed up retrieval.
• Security and Privacy: To safeguard data and guarantee system integrity, security mechanisms like encryption, authentication, and access control are put in place. Privacy issues also need to be addressed, particularly in healthcare and other sensitive areas.
• Scalability and Reliability: As the number of IoT devices and data sources rises, the system should be built to scale. It should also be dependable, with systems in place to deal with malfunctions and guarantee uninterrupted performance.
• Stream Processing: To handle continuous data streams in real-time, use stream processing engines such as Apache Kafka or Apache Flink.
• Communication with the Cloud: Create safe lines of communication to send critical information or analysis findings to the cloud for additional processing, storage, or display.

Overall, a change in perspective, as well as the adoption of new tools and methods, are required for incorporating Edge computing into software development. Nonetheless, real-time analysis’s advantages and capabilities make it a useful method for a range of applications needing dependable and quick data processing.

Cybersecurity and Privacy

source(https://builtin.com/cybersecurity)

In the current digital era, privacy and cybersecurity are crucial, and their importance is only increasing due to an increase in cyber threats. Prioritizing cybersecurity and privacy safeguards is more important than ever because of the growing attack surface that cybercriminals can exploit due to the interconnectedness of devices, systems, and networks. Cybercriminals using sophisticated tools like ransomware, phishing, and zero-day exploits are increasingly targeting governments, corporations, and private citizens. Data breaches, monetary losses, and reputational harm are all possible outcomes of these attacks. Globally, governments have implemented strict legislation on data protection to preserve people’s privacy and guarantee that personal data is used responsibly. Organizations must adhere to strict laws to secure user data.

Privacy has emerged as a key concern, with people and organizations wanting more control over their personal information. Technologies that improve privacy, like blockchain, anonymization, and encryption, are being used to safeguard private data and guarantee adherence to data protection laws. One emerging trend in cybersecurity practices, gaining importance amidst rising threats, is the adoption of a zero-trust architecture (ZTA).

Zero-Trust Architecture

The idea behind the zero-trust method is ”never trust, always verify”. Zero-trust security approaches assume that threats may already be inside the network, in contrast to conventional security models that rely on perimeter-based protections. Consequently, regardless of whether they are inside or outside the organization’s perimeter, every person, device, and application trying to access the network is checked. Here are some key trends in ZTA practices:

• Micro-Segmentation: ZTA recommends utilizing micro-segmentation to establish network security zones. This prevents threats from moving laterally by limiting access to resources according to the least privilege concept.
• Continuous Monitoring and Analytics: ZTA emphasizes continuous verification of user identification, device trust, and access requests during a session, going beyond initial authentication. Context-aware access control and multi-factor authentication (MFA) are becoming more and more important.
• Cloud-Native Security: ZTA is becoming increasingly important as cloud services and remote work become more common. Cloud-native security solutions guarantee that access is authorized based on the identification and other contextual criteria, enforcing zero-trust principles in cloud environments.

Strategies for Incorporating Measures into Lifecycles

Ensuring that security is taken into account at every level of development requires integrating cybersecurity and privacy safeguards into a system’s or product’s lifecycle. The following are some methods for applying these measures:

• Planning and Design: Consider security from the start by using privacy-preserving techniques, secure coding, and threat modeling. Gather and keep only the minimum information needed, reducing the attack surface and data leak consequences. Conduct privacy impact assessments to identify and mitigate privacy risks.
• Development and Implementation: Developers should use secure coding practices, reputable libraries, and regular penetration testing to reduce vulnerabilities. Implementing granular access restrictions and encrypting critical information also enhance security.
• Monitoring and Incident Response: To identify and address security incidents quickly, put in place monitoring and incident response procedures. This entails keeping track of and recording security events in addition to putting an incident response strategy in place.
• User Awareness and Education: Give users the knowledge and resources they need to defend themselves, as well as best practices for security and privacy. This entails consistent instruction in security awareness and transparent dissemination of privacy policies and procedures.

Cybersecurity and privacy are essential cornerstones of a reliable and safe digital environment. Strong protection against cyber attacks and safe data management methods are critical as our dependency on technology grows.

DevOps and CI/CD

source(https://cd.foundation/blog/2020/09/17/ci-cd-patterns-and-practices)

Traditionally, software development often faced bottlenecks due to siloed operations between development and operations teams. DevOps bridges this gap by fostering seamless collaboration and communication, breaking down barriers, and creating a culture of shared responsibility. Continuous Integration and Continuous Delivery (CI/CD) further empower this collaborative environment. CI/CD automates crucial stages of the software development lifecycle (SDLC), including building, testing, and deployment. Automation is a key focus of CI/CD and DevOps; streamlining processes such as building, testing, and deployment ensures consistency across environments, shortens development cycles, and reduces manual errors.

CI/CD pipelines provide rapid feedback to developers, allowing them to identify and address issues early in the development cycle, resulting in higher-quality code and faster delivery of features to clients.

Integration for Automated Testing and Delivery

DevOps and CI/CD techniques enhance code quality, lower deployment failures, and hasten feature delivery to users by incorporating automated testing and delivery into the development process. Here’s how the integration works:

• The developer updates the Version Control System (VCS) with code commits.
• The build process is started automatically by the CI server.
• It builds and compiles code.
• Testing frameworks are used to run automated tests. Tools like JUnit (Java), PHPUnit (PHP), or Jest (JavaScript) are used to write automated tests that are executed during the CI pipeline.
• CI server analyzes test results.

Upon successful test completion, the CI/CD pipeline (if enabled) triggers software deployment to the designated environment; any test failures halt deployment and notify developers for issue resolution.

Benefits for Accelerating Delivery and Collaboration

The main goals of DevOps and CI/CD methods are to improve cooperation and accelerate delivery. These practices provide many advantages in accomplishing these objectives.

• Faster Time-to-Market: DevOps and CI/CD enable faster delivery of features and updates to customers by automating the testing, deployment, and development processes. This flexibility is essential in today’s fast-paced commercial world.
• Reduced Time-to-Feedback: Developers can find and address problems early in the development cycle thanks to CI and automated testing, which give them quick feedback. The results are faster feature delivery and better quality code.
• Better Collaboration: Transparency and visibility into the development process are fostered by a shared CI/CD pipeline, which facilitates improved communication and cooperation between operations and development teams.
• Streamlined Deployments: By eliminating manual errors and delays connected with conventional deployment methods, automated deployments accelerate delivery cycles.

CI/CD essentially drives faster delivery through task automation, quick feedback loops, and deployment process optimization. Establishing a shared workflow and encouraging openness between the development and operations teams also promotes improved collaboration.

Progressive Web Applications (PWAs)

PWAs are unique breeds, offering the best of both worlds, combining the best features of web and native mobile applications. Because PWAs are created with common web technologies like HTML, CSS, and JavaScript, they can function on any platform that has a contemporary web browser. As a result, there is no longer a need for distinct operating system installation procedures or app marketplaces. They offer functionalities similar to native apps, including push notifications, offline access, and the ability to be installed on the user’s home screen. This provides a more engaging and convenient user experience compared to traditional websites. Companies like Tinder, Starbucks, and Pinterest have embraced this technology.

PWAs can adjust to various screen sizes and resolutions because of their responsive design. This guarantees a consistent user experience on all platforms, including smartphones, tablets, and desktop computers. The capacity of PWAs to function offline or with a shoddy internet connection is one of their primary benefits. PWAs employ web workers, specifically service workers, to store material in a cache and provide offline access to previously viewed pages or information.

Advantages for Cross-Platform Development and UX

PWAs offer several advantages for cross-platform development and user experience (UX):

• Offline Access: Because PWAs employ service workers to cache material, they can function offline or with a poor internet connection. By doing this, users are guaranteed access to the app and its contents even if they are not online.
• Simple Installation: Installing PWAs on a user’s smartphone is quick and easy because it doesn’t require going through an app store. This enhances user adoption and retention.
• Responsive Design: PWAs are designed to adjust to various screen sizes and resolutions by adhering to responsive design standards. This guarantees a consistent user experience on all platforms and devices.
• Experience Similar to an App: PWAs can provide functionalities similar to an app, including access to the device’s hardware, push notifications, and full-screen mode. This improves user retention and engagement.

Best practices for development

To guarantee that users will have an excellent experience across various platforms and devices, many recommended practices must be adhered to while developing PWAs. The following are important best practices:

• Responsive Design: Make sure your PWA is designed properly to function on a range of screen sizes and orientations. Utilize CSS media queries and responsive design concepts to adjust the content and layout for various devices.
• Installability: Provide a manifest file and a service worker that facilitates offline access and installation to make it simple for users to install your PWA on their devices.
• Offline Experience: Make sure the PWA can continue to work properly even in the absence of an internet connection. Straightforwardly inform users about the scope of the offline features that are offered.
• Accessibility: Follow Web Content Accessibility Guidelines (WCAG) criteria to make sure the PWA is usable by people with disabilities.
• Security: Put strong security measures in place to safeguard user information and make sure the PWA is resistant to typical online threats.
• App Store Optimization (ASO): Although PWAs are typically used outside of app stores, you should think about improving metadata (if any) to increase search engine discoverability.

PWAs are a strong option for providing dependable, fast, and entertaining experiences across various platforms and devices. PWAs offer customers a seamless offline, installable, and secure experience by merging the finest aspects of online and native apps. PWAs are gaining traction as a preferred option for companies trying to reach a large audience with a consistent and interesting online application because of their responsive design, quick loading speeds, and push notification capabilities.

Conclusion

The software development industry is rapidly transforming due to key trends shaping development and deployment practices. These include integrating AI, machine learning, and low-code/no-code development alongside the adoption of cloud-native technologies and blockchain. Organizations are leveraging IoT and Edge Computing, as well as DevOps and CI/CD practices, to stay competitive in a fast-evolving digital landscape. Progressive Web Applications (PWAs) are also revolutionizing user interaction with web applications, blending web and native app features. While these trends offer opportunities for efficiency, agility, and innovation, they also pose challenges like security and compliance. Staying updated and embracing innovation will be critical for businesses to remain competitive. By leveraging these trends, businesses can drive growth, deliver value, and lead in the digital era, shaping the future of software development.

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