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1.heterogeneity

2.delivery time

3.trustworthy

4.business and social change

5.security

6.learn to write multithread application

7.learn how to operate programming tool and environment internally

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12y ago
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14y ago

There are two, in my opinion... 1. Learn to write multi-threaded applications correctly, taking thread-safeness into account. 2. Learn how programming tools and environments operate internally. (This stems from an observation that some of us use tools that "make it easier" without understanding the underlying implementation - this degrades the reliability and correctness of the resulting code.)

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14y ago

plzz share

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Q: What Challenges that software engineering face nowadays?
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"Identix®, a company based in Minnesota, is one of many developers of facial recognition technology. Its software, FaceIt®, can pick someone's face out of a crowd, extract the face from the rest of the scene and compare it to a database of stored images. In order for this software to work, it has to know how to differentiate between a basic face and the rest of the background. Facial recognition software is based on the ability to recognize a face and then measure the various features of the face. Every face has numerous, distinguishable landmarks, the different peaks and valleys that make up facial features. FaceIt defines these landmarks as nodal points. Each human face has approximately 80 nodal points. Some of these measured by the software are: * Distance between the eyes * Width of the nose * Depth of the eye sockets * The shape of the cheekbones * The length of the jaw line These nodal points are measured creating a numerical code, called a faceprint, representing the face in the database.In the past, facial recognition software has relied on a 2D image to compare or identify another 2D image from the database. To be effective and accurate, the image captured needed to be of a face that was looking almost directly at the camera, with little variance of light or facial expression from the image in the database. This created quite a problem."--How Stuff Works


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Software engineering employs several process models, each tailored to manage the complexity and goals of a specific software development project. Here are some of the commonly used process models: Waterfall Model: This is a linear-sequential life cycle model wherein each phase must be completed before the next one begins. It's easy to understand and manage but lacks flexibility. Iterative Model: This model involves repeating the development process cycles (iterations) until the final system meets the desired requirements. Incremental Model: Similar to the iterative model, but each increment delivers a piece of the system's functionality and is potentially releasable. Spiral Model: This model combines elements of both design and prototyping-in-stages, making it ideal for large, complex, and high-risk projects. Agile Model: Agile methodology promotes continuous iteration of development and testing in the software development process. It's flexible and delivers high-quality software. V-Model: Also known as the Verification and Validation model, it's an extension of the Waterfall model where each development stage has a corresponding testing phase. RAD Model (Rapid Application Development): This model emphasizes quick development and promotes higher user involvement. Prototyping Model: This involves building a quick, rough execution of the system, then refining it based on user feedback until it evolves into the final software. Each model carries its own set of advantages and disadvantages, and the choice among them depends on the specific requirements, expectations, and resources available for the project.

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