Software reusability metrics prediction by using evolutionary algorithms: The interactive mobile learning application RozGaar

Author(s):  
Neelamadhab Padhy ◽  
Suresh Chandra Satapathy ◽  
J.R. Mohanty ◽  
Rasmita Panigrahi
2019 ◽  
Vol 10 (2) ◽  
pp. 21-36 ◽  
Author(s):  
Rasmita Panigrahi ◽  
Neelamdhab Padhy ◽  
Suresh Chandra Satapathy

Software expansion is rising with the help of the standard paradigm in the 21st century. The maximum contribution of software growth focuses mainly on object-oriented development methodologies. This paradigm helps the developer to develop code quickly and makes sure that the platform assists in producing a quality product. The software reusability metrics play a crucial role for software development. To overcome the scalability issues, researchers and developers both adopt a CK metrics suite to extract the software metrics to extract the features from the repositories. The main objective of this article is to extract the set of metrics from social media by using novel evolutionary techniques. Dissimilar features within this area are examined with a suitable research query that discovers the potential and extent.


2018 ◽  
Vol 1 (2) ◽  
pp. 1-17
Author(s):  
Tedi Budiman

One example of the growing information technology today is mobile learning, mobile learning which refers to mobile technology as a learning medium. Mobile learning is learning that is unique for each student to access learning materials anywhere, anytime. Mobile learning is suitable as a model of learning for the students to make it easier to get an understanding of a given subject, such as math is pretty complicated and always using formulas.The design method that I use is the case study method, namely, learning, searching and collecting data related to the study. While the development of engineering design software application programs that will be used by the author is the method of Rapid Application Development (RAD), which consists of 4 stages: Requirements Planning Phase, User Design Phase, Construction Phase and Phase Cotuver.


2016 ◽  
Vol 22 (2) ◽  
pp. 325-349
Author(s):  
Yujin Park ◽  
Sunyoung Keum ◽  
Myungsun Kim ◽  
Ilju Rha

2020 ◽  
Vol 2020 (1) ◽  
pp. 105-108
Author(s):  
Ali Alsam

Vision is the science that informs us about the biological and evolutionary algorithms that our eyes, opticnerves and brains have chosen over time to see. This article is an attempt to solve the problem of colour to grey conversion, by borrowing ideas from vision science. We introduce an algorithm that measures contrast along the opponent colour directions and use the results to combine a three dimensional colour space into a grey. The results indicate that the proposed algorithm competes with the state of art algorithms.


2013 ◽  
Vol 17 (1) ◽  
Author(s):  
Jay Alden

Mobile devices and applications are expected to have a significant impact on teaching and learning in the near future. Yet colleges and universities are currently facing severe budget constraints and discretionary funding is restricted for new initiatives. The question addressed in this paper is: “What strategy should an institution of higher learning with limited resources use in adapting the capabilities of mobile devices to benefit its academic programs?” To help answer this question, students were surveyed to identify their perceptions on the importance of a selected set of mobile learning functions, their experience with using those functions, their recommendation for a mobile learning adoption strategy, and information on the particular mobile devices they possess. The recommended strategy was “pick and choose special capabilities to develop” with the selected functions being (1) Receive alerts and reminders about assignments and appointments concerning the course being taken; (2) Communicate individually with faculty, an advisor, or other students using voice, email, or text messaging; (3) Post or reply to items in a poll, discussion board, or other application; and (4) Download and review lesson materials from a course being taken. Other recommendations included techniques for faculty and student support services as well as institutional policies for limiting models of mobile devices for use in courses, making online courseware for laptops and desktops the same as mobile learning courseware, and making the opportunity for mobile learning optional.


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