Volume-1 Issue-1, January 2021 – Indian Journal of Software Engineering and Project Management (IJSEPM)

A1005011121

IJSEPM Journal — Wed, 11 Aug 2021 06:36:05 +0000

The Indian Journal of Software Engineering and Project Management (IJSEPM) has ISSN 2582-8339 (online) which is an online, open access, peer reviewed, periodical half yearly international journal. This journal is published by Lattice Science Publication (LSP) in the months of January and July. The aim of the journal is to publish high quality peer–reviewed original articles in the area of Software Engineering and Project Management that covers Software Life Cycles Development Models, Project Planning and Management, Software Requirements Analysis, Software Design Analysis, Software Testing and Integration, Software Implementation and Maintenance, Software Maintenance and Maintainability, Software Metrics or Attributes, Software Risk Assessment and Containment, Reliability, Software Quality and Quality Assurance, Software Cost Estimation, Object Oriented Developments, Object Oriented Metrics, Object Oriented Testing and Formal Notations. Author (s) can submit articles electronically round the year. The Editors reserve the right to reject articles without sending them out for review. Submitted articles should not have been previously published or be currently under consideration for publication elsewhere. Briefs and research notes are not published in this journal. Submitted articles must be within the scope of the journal. All articles go through a double-blind peer review policy. After the final acceptance of the article, based upon the detailed review process and submission of required documents, the article will publish online immediately. However, the assignment of the article of specific issue (see archive) will be taken up by the editors later; and the author will be intimated accordingly. For theme based special issues, time bound special calls for articles will be announced. #Ethics of Software Engineering and Management #Software Life Cycles Development Models #Project Planning and Management #Software Requirements Analysis #Software Design Analysis #Software Testing and Integration #Software Implementation and Maintenance #Software Maintenance and Maintainability #Software Metrics or Attributes #Software Risk Assessment and Containment #Reliability #Software Quality and Quality Assurance #Software Cost Estimation #Object Oriented Developments #Object Oriented Metrics #Object Oriented Testing #Formal Notations #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons

Journey Companion, an Android Travel and Tourism Application
Arun Krishna K V¹, Sabarish S²
¹Arun Krishna K V, Computer Science and Engineering, Thiagarajar College of Engineering, Madurai, Anna University, Chennai, India.

²Sabarish S, Computer Science and Engineering, Thiagarajar College of Engineering, Madurai, Anna University, Chennai, India.

Manuscript received on 17 December 2020 | Revised Manuscript received on 30 December 2020 | Manuscript Accepted on 15 January 2021 | Manuscript published on 30 January 2021 | PP: 29-34 | Volume-1, Issue-1, January 2021 | Retrieval Number: A1005011121/2021©LSP

Open Access | Ethics and Policies | Indexing and Abstracting
© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Due to high inflow of domestic as well as international tourists, the manpower required to guide the tourists on travel landmarks is not sufficient and sometimes lack in the information that needs to be given and highlighted to the tourist. The biggest issue of regular travellers flying around the world is they want software to aid them. But there are tons of different travel apps out there today, each with their own set of interesting features. But due to limited storage capacity on smartphones and jumping across multiple applications, it’s getting repetitive and mundane for the traveller. We get to know the needs of tourists by surveying the regular traveller, an app that has the features of all the other travel apps on the market today. The goal of the project is to build an android app that assists the traveller throughout his journey. The main objective of our project is to develop a state of the art mobile travel guide application with innumerable functionalities which will include integrated features of all other best travel apps in the market in a single all-in-one app. We propose the development of a mobile application which renders information about various cities or destinations and their landmarks, monuments, restaurants, picnic spots and current weather information of a chosen city. Apart from these it will also have some add-on features like currency convertor, magnetic compass, world clock, holiday details and shopping facilities.

Keywords: Android app, Currency Convertor, Top Destinations, Journey companion, Tourism, Travel guide, Weather forecast

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A1004011121

IJSEPM Journal — Wed, 11 Aug 2021 06:31:31 +0000

Tensor Data Imputation by PARAFAC with updated Chaotic Biases by Adam Optimizer
Pooja Choudhary¹, Kanwal Garg²
¹Pooja Choudhary, Department of Electronics and Communication, Swami Keshvanand Institute of Technology, Management & Gramothan (SKIT), Jaipur (Rajasthan), India.

²Kanwal Garg, Department of Electronics and Communication, Swami Keshvanand Institute of Technology, Management & Gramothan (SKIT), Jaipur (Rajasthan), India.

Manuscript received on 23 December 2020 | Revised Manuscript received on 27 December 2020 | Manuscript Accepted on 15 January 2021 | Manuscript published on 30 January 2021 | PP: 18-28 | Volume-1, Issue-1, January 2021 | Retrieval Number: A1004011121/2021©LSP

Open Access | Ethics and Policies | Indexing and Abstracting
© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The big data pattern analysis suffers from incorrect responses due to missing data entries in the real world. Data collected for digital movie platforms like Netflix and intelligent transportation systems is Spatio-temporal data. Extracting the latent and explicit features from this data is a challenge. We present the high dimensional data imputation problem as a higher-order tensor decomposition. The regularized and biased PARAFAC decomposition is proposed to generate the missing data entries. The biases are created and updated by a chaotic exponential factor in Adam’s optimization, which reduces the imputation error. This chaotic perturbed exponentially update in the learning rate replaces the fixed learning rate in the bias update by Adam optimization. The idea has experimented with Netflix and traffic datasets from Guangzhou, China.

Keywords: Tensor decomposition, PARAFAC, Adam optimization, Data imputation, etc.

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A1003011121

IJSEPM Journal — Wed, 11 Aug 2021 06:13:47 +0000

A Novel Approach for Urban Mobility by using Trajectory Clustering Method
Sathya Raman¹, Pranchal Sharma², Abhishek Chattopadhyay³, Ayush Kapoor⁴, Ravindra Singh Rajawat⁵
¹Sathya Raman, Assistant Professor, Student SRM IST, Chennai, India.

²Pranchal Sharma, Assistant Professor, Student SRM IST, Chennai, India.

³Abhishek Chattopadhyay, Assistant Professor, Student SRM IST, Chennai, India.

⁴Ayush Kapoor, Assistant Professor, Student SRM IST, Chennai, India.

⁵Ravindra Singh Rajawat, Assistant Professor, Student SRM IST, Chennai, India.

Manuscript received on 17 December 2020 | Revised Manuscript received on 30 December 2020 | Manuscript Accepted on 15 January 2021 | Manuscript published on 30 January 2021. | PP: 13-17 | Volume-1, Issue-1, January 2021 | Retrieval Number: A1001011121/2021©LSP

Open Access | Ethics and Policies | Indexing and Abstracting
© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The clustering of considerable scale vehicle bearings is a fundamental point of view for understanding urban traffic structures, especially to upgrade open transport courses, frequency and improve decisions that can be made by the specialists. The existing plans are not suitable for considerable amounts of headings in thick roads of the city due to which there is an inconvenience to find a representative evacuate measure between headings that can manage a huge dataset. In this paper, we propose a novel Dijkstrabased, trajDTW between two headings, that is sensible for generous amounts of covering bearings of a thick road sort out like Found in genuine urban territories around the Globe. Furthermore, we present a novel fast clusiVAT algorithm tell us the amount of gatherings toward the path dataset and recognize the headings having a spot with each pack. We lead examines to scale taxi course dataset involving taxi headings procured from the GPS clues of a large number of taxis inside a metropolitan city over a period of time crossing the significant streets. We consider the heading clusters got using our philosophy with those got using understood general and course express gathering frameworks: DBSCAN, OPTICS, NETSCAN, and NEAT. We present that the gathering received using our novel fast clusiVAT framework are more precise than those received by using other clustering plans, evaluated subject to two inward cluster authenticity measures: Dunn’s and Silhouette records. Additionally, our speedy clusiVAT computation.

Keywords: clustering techniques, fast clusiVAT, Dijkstra-based, trajDTW

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A1002011121

IJSEPM Journal — Wed, 11 Aug 2021 06:06:59 +0000

A Review on IoT Based Operating System and it’s Security Challenges
Waheed Javed¹, Gulnaz Parveen², Adnan Abid³
¹Waheed Javed, University of Management and Technology (PAKISTAN).

²Gulnaz Parveen, University of Management and Technology (PAKISTAN).

³Dr. Adnan Abid, University of Management and Technology (PAKISTAN).

Manuscript received on 21 December 2020 | Revised Manuscript received on 29 December 2020 | Manuscript Accepted on 15 January 2021 | Manuscript published on 30 January 2021 | PP: 7-12 | Volume-1, Issue-1, January 2021 | Retrieval Number: A1001011121/2021©LSP

Open Access | Ethics and Policies | Indexing and Abstracting
© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Today Embedded devices connecting all kinds of physical objects to the internet such as smartphones, light bulbs, medical devices, smart devices, smart cars, and even smart cities it’s all beholden of IoT. IoT connects a wide range of services to people. In coming years, it expects that billions of items will be implemented. Currently, there has been a lot of effort to map the operating systems For IoT devices, because IoT applications are not properly run on the Windows / Unix for real-time applications. So these operating systems cannot meet the necessities of the IoT applications. A trustworthy forum for the Internet of Things ( IoT) expansion is thus important as a new architecture. The data that is gathered from IoT devices are mostly unsaturated and noisy, on the other hand, we needed efficient and accurate result, so more computation power required for analysis And an optimized authentication method was also needed for lightweight devices such as IoT, where very few computing power, resource constraints, limited memory, and limited battery life are needed. In this examination paper, an investigation is exhibited dependent on many open-source operating systems for IoTs and portray the qualities of some well-known operating systems and can best choice about working framework for application explicit prerequisites, and I will discuss in the last section possible current security challenges in IoT operating system.

Keywords: Operating Systems; Mbed, Contiki, Internet of Things, Tiny OS

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A1001011121

IJSEPM Journal — Wed, 11 Aug 2021 06:00:54 +0000

A Framework for Project based Learning Process with Industrial Collaboration
Jamilurahman Faizi¹, Mohammad Sarosh Umar²
¹Jamilurahman Faizi, Department of Computer Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh, India.

²Mohammad Sarosh Umar, Department of Computer Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh, India.

Manuscript received on 20 December 2020 | Revised Manuscript received on 27 December 2020 | Manuscript Accepted on 15 January 2021 | Manuscript published on 30 January 2021 | PP: 1-6 | Volume-1, Issue-1, January 2021 | Retrieval Number: A1001011121/2021©LSP

Open Access | Ethics and Policies | Indexing and Abstracting
© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: A vital portion of software engineering education is practical learning and experience of principles, methods and procedures for the development of real-time software. Yet, software engineering educators have been using the traditional approaches for SE education since long back, which is being revealed as an inefficient method of learning approach and bring up the gap between graduates and software industries. Therefore, instructors are required to train their students based on professional skills, real-time experience and well prepare them for real time environment upon graduation. This paper presents an educational framework for the implementation of PBL (Project Based Learning) approach with industries collaboration in order to reduce the gap between both parties. This is an effective and interesting approach for teaching and learning SE education as compared to the traditional and lecture-based approach. Moreover, it helps studetns to gain the complete knowledge of software engineering concept, Hard and Soft skills, Software design and principles with more confidence over real-world projects.

Keywords: Software Engineering Education, Project-Based Learning, Industries.

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