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What Is Ninety-Ninety Rule?

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The Ninety-Ninety Rule is a favorite among software developers and project managers. This rule states that "the first 90 percent of the code accounts for the first 90 percent of the development time. The remaining 10 percent of the code accounts for 90 percent of the development time." It's a humorous way of saying that software development always takes longer than expected and that the last little bit is always the most time-consuming. Now, there are a few technical factors that contribute to this phenomenon. Software development is an iterative process, meaning that each new feature or change can have unintended consequences that must be addressed. It can lead to many back-and-forths between developers, consuming much time. Additionally, the software is a complex system with many moving parts. Even a tiny change in one part of the code can have ripple effects throughout the rest of the system. Testing and debugging take much longer than expected, slowing the development process. Of course, there are also non-technical factors at play. For example, stakeholders sometimes change their minds or introduce new requirements mid-project, which can wrench the development timeline. Sometimes, developers can get bogged down in details or lose motivation, which can also slow things down. So, what's the solution to the Ninety-Ninety Rule? Well, unfortunately, there's no magic bullet. There are a few strategies that can help. Planning for delays and unexpected issues is essential, as building some wiggle room in the project timeline. Additionally, it can be helpful to break down the project into smaller, more manageable tasks so that progress can be made incrementally. Most importantly, it's crucial to maintain open lines of communication between developers, stakeholders, and project managers. By keeping everyone on the same page and working together towards a common goal, it's possible to navigate the treacherous waters of software development and emerge victorious - or at least somewhat less behind schedule than expected!

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Related Terms by Software Development

Sentiment Analysis

Sentiment analysis is a lot like having the ability to discern minds, except it's done with computers. Opinion mining is a data mining subfield that utilizes unstructured text analysis to gauge consumer sentiment toward a brand, individual, or concept. Sentiment analysis is a technique for gleaning emotional data from online sources using NLP, computational linguistics, and text analysis. Social media sites and other online forums where users post their thoughts and observations on various subjects are familiar places to find this data. Sentiment analysis uses complex algorithms and machine learning methods to identify a person's opinion's positive, negative, or neutral nature. As a bonus, it can determine whether the text is joyful, sad, angry, or anxious, as well as other emotions. The results of this analysis can be used to calculate the extent to which the public approves or disapproves of various brands, individuals, and concepts. Knowing the thoughts and preferences of customers can be invaluable to companies and organizations. A business may employ mood analysis to monitor customer feedback via social media and use the results to improve its offerings. The material's polarity in its context can also be revealed through sentiment analysis. It can tell you how people feel about a subject or entity and what it is about that subject or entity that people like or dislike. Sentiment analysis can show, for instance, that consumers have a generally positive attitude toward a given brand but a negative attitude toward its customer service. To sum up, sentiment analysis is a subfield of data mining that assesses consumer reaction to a brand, individual, or concept by examining written language. It's like having the ability to read thoughts, only this time, and it's accomplished through complex mathematical formulas stored in a computer. Sentiment analysis, or opinion mining, is a method for gleaning and analyzing biased data from online sources, such as social media and blogs. Data analysis can reveal the contextual polarity of information and provide quantitative estimates of the public's feelings or responses to specific goods, people, or ideas.

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Self-Provisioning

If you're like most people, you're always looking for ways to get out of work. So when we heard about self-provisioning—the ability to set up services and applications by yourself without the help of a dedicated IT specialist or service provider—we were all over it. It's like having your server, except that instead of having to buy your server, pay for its maintenance, and hire an IT person to manage it when things go wrong, you sign up with a cloud provider who has already done everything for you. Moreover, they'll even let you use their servers for free! So if you have ever wanted to launch your website but didn't want to take on the burden of managing it yourself, or if you've been dreaming of starting an online business but didn't want to spend all that money on servers and software licenses well, now's your chance! Self-provisioning is excellent, but the self-de-provisioning part is even more significant. Provisioning is like getting a massage—you know what you want and are in charge of getting it. Deprovisioning is like getting a haircut—it's a little more complicated than telling someone what to do. It requires much attention to detail and technical skill to ensure you're not cutting off any substantial parts of yourself in your zeal to be smooth and sleek. We don't want you to be soft and elegant! We want you to be well-groomed! So here are some tips for taking care of yourself by taking care of your resources. Always deprovision after using a resource so that others can use it when they need it later. Only do something once you've found another that does what that other one did for you (and then de-provision the old one).

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Secure Hash Algorithm (SHA)

Secure Hash Algorithm is a set of algorithms developed by the National Institutes of Standards and Technology and other government and private parties. Cryptographic hashes (or checksums) have been used for electronic signatures and file integrity for decades. However, these functions have evolved to address some of the cybersecurity challenges of the 21st century. The NIST has developed a set of secure hashing algorithms that act as a global framework for encryption and data management systems. The initial instance of the Secure hash Algorithm (SHA) was in 1993. It was a 16-bit hashing algorithm and is known as SHA-0. The successor to SHA-0, SHA-1, was released in 1995 and featured 32-bit hashing. Eventually, the next version of SHA was developed in 2002, and it is known as SHA-2. SHA-2 differs from its predecessors because it can generate hashes of different sizes. The whole family of secure hash algorithms goes by the name SHA. SHA-3, or Keccak or KECCAK, is a family of cryptographic hash functions designed by Guido Bertoni, Joan Daemen, Michaël Peeters, and Gilles Van Assche. SHA-3 competition to develop a new secure hash algorithm was held by the United States National Security Agency (NSA) in 2007. To be a super safe and fast hashing algorithm, SHA3 was developed from this contest. The evolution of cybersecurity has led to the development of several "secure hash algorithms." Security is a crucial concern for businesses and individuals in today's digital world. As a result, many types of encryption have been developed to protect data in various scenarios. One of these is hash algorithms. All secure hash algorithms are part of new encryption standards to keep sensitive data safe and prevent different types of attacks. These algorithms use advanced mathematical formulas so that anyone who tries to decode them will get an error message that they aren't expected in regular operation.

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Trending Definitions

Radio Access Network (RAN)

You've probably heard the term "radio access network" before, but you might not know what it is or how it works. Radio access networks connect devices to other parts of a network through radio connections. This technology is used in modern telecommunications, with 3G and 4G network connections for mobile phones being examples of radio access networks. A radio access network is a technology that connects individual devices to other parts of a network through radio connections. It is a significant part of modern telecommunications, with 3G and 4G network connections for mobile phones being examples of radio access networks. Radio access networks can be considered the backbone of any modern telecommunications system. They allow users to easily connect to the Internet or other private networks, and they are an essential part of our daily lives whether we know it or not! You've got to hand it to the pioneers of wireless. They could see beyond the limitations of the telephone system, which had been around for decades. The idea of a handset or other item being wirelessly connected to a backbone or core network that transmits over the PSTN system or some other infrastructure was pioneered decades ago. It has repeatedly proven a powerful way to get data from points A to B. The radio access network receives the signal to and from the wireless end point so it can travel with other traffic over networks built with a collective and deliberate purpose. The radio access network (RAN) is a mobile network connecting users to the core network. It's often called the "last mile" because it allows us to communicate from far away and our connection back to the standard PSTN or the Internet platforms. The RAN generally consists of base stations connected by base station controllers (BSCs) and serves as gateways between mobile devices and core networks. Some types of RAN include GERAN and GRAN, which utilize BSCs and base transmission stations to manage radio links for both. Circuit-switched and packet-switched core networks and UTRAN and E-UTRAN often connect endpoints to the standard PSTN or the Internet platforms.

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MiniSD

MiniSD cards are sometimes called the "little giants" of the memory card market. Imagine a tiny little card, smaller than your pinkie finger, that can hold vast information. What would you do with such a card? It's like a magic trick that makes all your digital data appear and disappear. A MiniSD card, a "micro secure digital card," stores digital data, including images, movies, music, and documents. It functions similarly to a tiny hard drive but is instead installed in your digital devices, such as your camera, smartphone, or MP3 player. Now, let's move on to the more technical aspects of the situation. The amount of data stored on a MiniSD card can range anywhere from 128 megabytes to 2 gigabytes. They use flash memory, which indicates that the information is kept on memory chips that can do so even without electricity. The MiniSD card's small read/write head can access data. The card goes into a MiniSD card adaptor, which goes into your digital device's SD card port. MiniSD cards may be used in SD card slots using the adaptor. The file system MiniSD cards utilize is FAT32, which stands for "File Allocation Table 32-bit." This indicates that the card has been formatted, making it simple for your digital device to read data from the card and write it to the card. It is also possible to transmit data across multiple devices using the FAT32 file system. For example, you might move data from a camera to a computer. Let's discuss the advantages of MiniSD cards. Busy individuals, they're tiny, light, and portable. They are also less expensive than giant memory cards. Due to their compact size, they are an excellent choice for digital devices with limited space for a memory card. To summarise, a MiniSD card consists of the components above and features. People who want to save a lot of information but want to avoid carrying around a hefty memory card will find that this little card is great for them because it has an enormous capacity despite its diminutive size. It's a digital storage genie!

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Fear-Driven Development (FDD)

Fear! It's the first word in Fear-Driven Development. And it's probably a big part of your software development process but, if you're building software for customers instead of yourself, shouldn't it be Customer-Driven Development? Fear-driven development (FDD) is a term invented by software developers when the fear of making mistakes or negative consequences prevents a team from trying something new. Fear-driven development can stifle whole groups, making it difficult for them to innovate or be creative and efficient. The root cause of fear-driven development is usually a management style that stifles risk-taking, preventing people from learning from their mistakes and delivering quality software faster. Fear-driven development (FDD) is an anti-pattern in software development that limits creativity and increases risk; fear-driven development is often attributed to Scott Hanselman. He describes "organizational fear" and "analysis paralysis", which can lead companies to become obsessed with double-checking and triple-checking code, restricting meetings, and trying to throttle feedback and otherwise attempting to control the process based on the fear that something will turn out wrong. Experts explain how this doesn't just undercut the ability of developer teams to innovate but can be extremely harmful to your company. Fear-driven development is the most extreme form of productivity. It's when company leadership rules by instilling fear in their employees. It might push employees to work overtime, including weekends and evenings, or otherwise make them perform by telling them their jobs are at stake. It's a common approach in many industries, but productivity experts would not recommend this punitive management process and often describe how it might break a company down. Fear-driven development has been a popular topic in the software industry for years. Fear-driven development has been a popular topic in the software industry for years. This is because working under pressure can lead to mistakes and ultimately drive away your top talent. Fear-driven development has been a popular topic in the software industry for years. You might have heard of it being called "tiger teams" or "fire drills." Or perhaps you've known a team whose leader had to yell at people to get them to care about their work. It's when the company's management style causes employees to feel afraid. It can be terrible if it happens over long periods because it saps morale and often leads people to leave your organization.

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