Comprehensive Analysis of an Automated Job Placement Portal

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This report provides a detailed analysis of an automated job placement portal, examining its critical aspects such as robustness, maintainability, testability, and scalability. The report delves into the importance of these factors in ensuring the portal's effectiveness and efficiency. It discusses the methodologies employed in the portal's execution, including system testing, acceptance, exploratory testing, and regression testing. The report also highlights the use of agile methodologies like WRAP for rapid application development and job wrapping techniques for aggregating job postings. The closure phase of the portal, including feedback and resource allocation, is also discussed. The report concludes by emphasizing the importance of these elements in creating a successful online job portal that meets the needs of both job seekers and companies. The references include various sources that support the findings and analysis presented in the report.
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Running head: AUTOMATED JOB PLACEMENT PORTAL.
AUTOMATED JOB PLACEMENT PORTAL
Name of the Student:
Name of the University:
Author note:
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AUTOMATED JOB PLACEMENT PORTAL
Robustness:-
According to the definition robustness of computing system is the skill to manage with
errors during implementation. In modern technology, online job portal is a significant part of
every job seeker. The user required an automated job portal with the very communicating and
multilingual structure where job searchers and companies can discover appropriate matches for
their necessity. On the existence of a disturbance, the right-shift strategy keeps the preparation
arrangement while postponing the incomplete jobs as much as essential to accommodate the
interference [5]. A specific quantity of schedule robustness is subsequent for the situation in
which only a single interruption occurs within the scheduling prospect. A replacement quantity is
establishing for the supplementary composite case in which numerous troubles may happen.
Maintainability:-
Online job Portal maintenance is a vital part of running smoothly any job matching
websites. First of all, the job portal must be a plan in such a method that it can preserve in future.
It well recognises that the popularity of the price of online job portal software is not in its
preliminary progress [4]. Some of the essential examples are bugs fixing, possession structures,
inspecting disasters, adjustment stages, methodological responsibility, and new arrangements.
Every online job portal should follow three basic principles .operability, extensibility, simplicity
are the three types of basic principles. If the technician daily maintains their job portal and
update it, then it is running very smoothly.
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AUTOMATED JOB PLACEMENT PORTAL
Testability:-
Testability in common expressions can be unambiguous as the degree of simplicity with
which an arrangement can be verifying. When an online portal is executing, then it is vital to
calculate to finalise the mechanism of this system. These are more problematic and inefficient
due to testability. If such a quantity could be functional at the opening of a portal software
challenging stage, much more actual difficult properties distribution and arranging could be
imaginable [1]. The objective of automated job portal software analysis is to make definite that
the specified job portal software invention chances the declared necessities by authenticating the
purpose. The non-functional needs to expose as many program faults as probable throughout a
portal software assessment procedure. Some methods that can be engaged to improve portal
testability like isolation, software clarification and system documentation.
Scalability:-
Scalability is one of the most significant factors for online searching job. A software that
is defining as accessible has a benefit because it is more adjustable to the fluctuating
requirements or demands of its operators [3]. The planned coordination meets the non-functional
needs like safety by numerous form authentications and key encryptions, dependability by
preserving reliability with fault mails, the administrative contact of the operators. The
presentation is made more accessible with an innovative exploration feature that filters and
distributes Invited records from a considerable quantity of data.
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AUTOMATED JOB PLACEMENT PORTAL
Methodology:-
Execution:-
To execute this online placement portal project, the technician maintains some procedure
like system testing, system acceptance, exploratory test, regression testing, and performance
testing. The purpose of the online portal system testing is Expresses authority cases, principle
agreement, browser experiments. All types of system investigation developed by the system
specialist[6]. System acceptance is Describes the receiving conditions for an Operator Section.
Next is the Exploratory testing, which is trying to discover new difficulties. Regression
investigations are any tests where the singular determination is to confirm a code modification
hasn’t surprisingly damaged current functionality. Full-scale presentation analysis necessitates
significant time, capability and hardware. The user has originated that the designers can make a
considerable involvement if they select to emphasis on presentation throughout the progress.
Wrapping:-
WRAP is an influential and modern generation agile method software that supports
operator progress well applications sooner. WRAP cloud-based information store permits
customizable near actual time broadcasting that gives expansion teams. The administrator's much
superior discernibility into standing, development and class of their application progress plans
[7]. Job wrapping searches the online for scheduling directly from recruiting websites and
company websites and then positions those scheduling on own work board for job seekers to use.
The entire advertisement is recollected, counting the process for applying. Since the user job
portal can regulate which enlisting websites are included by a job wrapping platform. They can
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AUTOMATED JOB PLACEMENT PORTAL
use the attraction of the user registered website application to fascinate well recruiters and
develop income.
Closure:-
When a user searched a job application after the completion of the job searching the user
post some comments and give some feedback. It is the primary process of online job portal
closure using agile methodology. There are some stages of the online job portal closure like
possibility investigation, Resource statement, Certifications, and sign off. Mainly the closure part
is essential and if any time the users close their portal[2]. Which actions are to achieve at period
end and the dispensation arrangement for those happenings depends on which arrangement
purposes the user use. Closure, which is the last phase of a software analysis cycle, is a report
that is organised by the team administrator or leads after the achievement of the software
analysis process.
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AUTOMATED JOB PLACEMENT PORTAL
References:-
[1] L.A. Machi, and B.T. McEvoy, The literature review: Six steps to success. “Corwin Press”,
2016.
[2] L.M. Kureková, M. Beblavý and A. Thum-Thysen, “Using online vacancies and web surveys
to analyse the labour market: a methodological inquiry”, IZA Journal of Labor Economics, 4(1),
2015, p.18.
[3] M.S.Khan and M.S.Khan, Online job portal” (Doctoral dissertation, University of
Management and Technology Lahore), 2015.
[4] P.R.N. Dziobczenski, O. Person and S. Meriläinen, “Designing career paths in graphic
design: A document analysis of job advertisements for graphic design positions in Finland”, The
Design Journal, 21(3), 2018, pp.349-370.
[5] T. Maddison and M.eds. Kumaran, “Distributed learning: Pedagogy and technology in
online information literacy instruction”, Chandos Publishing, 2016.
[6] U. Viswanathan, S.M. Tomlinson, J.M. Fonner, S.A. Mock and S.J. Watowich,
“Identification of a novel inhibitor of dengue virus protease through use of a virtual screening
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AUTOMATED JOB PLACEMENT PORTAL
drug discovery Web portal”, Journal of chemical information and modeling, 54(10), 2014,
pp.2816-2825.
[7] Y.K. Suh, H. Ryu, H. Kim and K.W. Cho, “EDISON: a web-based HPC simulation execution
framework for large-scale scientific computing software:” In 2016 16th IEEE/ACM
International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2016(pp. 608-612),
IEEE.
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