Choosing the Weapon: A Comparative Study of Security Analyzers for Android Applications

Survey Paper on Resume Building Applications

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2022.39779 ◽

2022 ◽

Vol 10 (1) ◽

pp. 380-381

Author(s):

Kishor Raut

Keyword(s):

Comparative Study ◽

Detailed Analysis ◽

Survey Paper ◽

Imperfect Data ◽

Android Applications ◽

Building Methods

Abstract: Nowadays getting a good job is a vigorous and vast competition and many fail in the first step i.e., Resume shortlisting due to either imperfect data in the resume or imperfect/wrong resume format. Recruiter hardly takes 10-15 seconds to judge you upon your resume. In this survey paper, we point out a comparative study on different methods used for resume building and which technology is used to build them. Some of the methods use Android applications, some use Desktop applications. This paper makes a detailed analysis and talks about the merits and demerits of various Resume building methods. Keywords: Android applications, Desktop applications, Recruiter, Vigorous, Vast.

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Native Development Kit and Software Development Kit Comparison for Android Applications

International Journal of Information and Communication Technologies in Education ◽

10.1515/ijicte-2017-0011 ◽

2017 ◽

Vol 6 (3) ◽

pp. 5-13

Author(s):

Arturo Mascorro ◽

Francisco Mesa ◽

Jose Alvarez ◽

Laura Cruz

Keyword(s):

Software Development ◽

Comparative Study ◽

Discrete Cosine Transform ◽

Matrix Multiplication ◽

Computational Cost ◽

Sorting Algorithm ◽

Memory Usage ◽

Memory Consumption ◽

Java Language ◽

Android Applications

ABSTRACTA computational cost comparative study through both Java and C applications was developed. Computational routines consist of a matrix multiplications, the discrete cosine transform and the bubble-sorting algorithm. Memory and Runtime for each application were measure. It was determined that the runtime of matrix multiplication in Java was within the limits of 200 and 300 milliseconds, as opposed to the application developed in C, which shown to be stable with an execution period less than 20 milliseconds. In the ordering algorithm with the bubble method, it was observe that the Java language show be very slow compared to C. In addition, the memory usage was lower in most of the applications, showing a minimum difference. Applications were tested in both, a mobile LG-E510f and a Laptop Toshiba Satellite. The study allowed to report the profit generated in both runtime and memory consumption when performing a native implementation in C and Java.

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Convalida: a Code Generation-based FieldValidation Library for Android Applications

10.5753/cbsoft_estendido.2019.7670 ◽

2019 ◽

Author(s):

Wellington Pereira ◽

Paulo Maia

Keyword(s):

Comparative Study ◽

Code Generation ◽

Business Rules ◽

Field Validation ◽

Android Applications ◽

Final Code ◽

Validation Tool

A common, repetitive, and time-consuming task in the construction of Android applications is creating interface field validation. Although there are some tools that address that issue, they are not intuitive and require effort for configuration, which may hinder their use. This paper introduces Convalida, an annotation-based library that generates code automatically at compile time for field validation of Android applications, thus allowing the developer to focus on the implementation of business rules. A comparative study considering other field validation tool and a manual approach is also provided and shows that our library has improved the final code.

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