Professional Practice in IT

This document discusses professional practice in IT, including project planning, technology stack A and B, SWOT analysis, and references. It provides insights into the implementation of asset tracking software for LogistiX Company.

Running head: PROFESSIONAL PRACTICE IN IT
PROFESSIONAL PRACTICE IN IT
Name of the Student
Name of the University
Author Note

PROFESSIONAL PRACTICE IN IT 1
Project planning:
The aim of the project is to develop an asset tracking software for the LogistiX
Company. At present, the organization is using spreadsheets for tracking the assets of them
that includes trucks, containers, cranes and some of the other items. For the project, one
backend functionality for data storing will be created using database, for that one of the free
sources are preferable. And one front end will also be created for presenting an interface to
the customers where a customer will be able to retrieve or enter data from the back end. Only
the person who is authorized can only access the system. There will be no inconsistency of
data as well as the information and data will be remain protected from the sources that are not
legal.
Technology stack A:
Quality planning:
Software QFD
Product innovation:
TRIZ
UML techniques and tools:
NetBeans, Ms visio,
Database modelling tool:
My SQL
Project management and planning:
Ms project

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Effort estimation:
Top down
Risk identification:
Software-FMEA
Monitoring and reporting:
ISO-9001:2008
Methodologies:
RUP
Programming languages:
Java,.NET
Libraries, technologies and framework:
Java: JEE/J2EE, Java 2D
.NET: Visual basic
IDE:
Netbeans, MS visual studio
Networking protocols:
TCP/IP, SMS
Data storages/data bases:
MY SQL server
Web servers and applications:

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IBM web share
Cloud computing:
Amazon Web services
Enterprise service Bus:
Biztalk
Graphic and web design:
InDesign, Corel Draw
Testing:
Installation testing, Load testing, Automated testing.
Unit testing:
JUnit, utPLSQL
Issue management:
Rally, Trac
Technology stack B:
Quality planning:
Software-QFD
Product innovation:
Innovation algoritm
UML techniques and tools:
VOCT, IDEF

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Database modelling tools:
Oracle SQL developer, Toad
Project management and planning:
ScrumDesk
Effort estimation:
PERT
Risk identification:
Software-FMEA
Monitoring and reporting:
ArtSoft eQuality
Methodologies:
DSDM, kamban
Programming languages:
PHP, SQL
Libraries, technologies and framework:
PHP: CakePHP, Zend
IDE:
Komodo, Aptana Studio
Networking protocols:
HTTP/HTTPS, FTP

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Data storages/data bases:
Oracle, LDAP
Web servers and applications:
Oracle application server, Weblogic
Cloud computing:
Microsoft Azure
Enterprise service Bus:
Biztalk
Graphic and web design:
Indesign, Falsh
Testing:
Installation testing, Load testing, Automated testing.
Unit testing:
PHPunit, NUnit
Issue management:
Testlink, Bugzilla.

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Comparison:

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Technology stack A:
Quality planning:
Software QFD
Product innovation:
TRIZ
UML techniques and tools:
NetBeans, Ms visio,
Database modelling tool:
My SQL
Project management and planning:
Ms project
Effort estimation:
Top down
Risk identification:
Software-FMEA
Monitoring and reporting:
ISO-9001:2008
Methodologies:
RUP
Programming languages:
Java,.NET
Libraries, technologies and framework:
Java: JEE/J2EE, Java 2D
.NET: Visual basic
Technology stack B:
Quality planning:
Software-QFD
Product innovation:
Innovation algoritm
UML techniques and tools:
VOCT, IDEF
Database modelling tools:
Oracle SQL developer, Toad
Project management and planning:
ScrumDesk
Effort estimation:
PERT
Risk identification:
Software-FMEA
Monitoring and reporting:
ArtSoft eQuality
Methodologies:
DSDM, kamban
Programming languages:
PHP, SQL
Libraries, technologies and framework:
PHP: CakePHP, Zend
IDE:

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IDE:
Netbeans, MS visual studio
Networking protocols:
TCP/IP, SMS
Data storages/data bases:
MY SQL server
Web servers and applications:
IBM web share
Cloud computing:
Amazon Web services
Enterprise service Bus:
Biztalk
Graphic and web design:
InDesign, Corel Draw
Testing:
Installation testing, Load testing, Automated
testing.
Unit testing:
JUnit, utPLSQL
Issue management:
Rally, Trac
Komodo, Aptana Studio
Networking protocols:
HTTP/HTTPS, FTP
Data storages/data bases:
Oracle, LDAP
Web servers and applications:
Oracle application server, Weblogic
Cloud computing:
Microsoft Azure
Enterprise service Bus:
Biztalk
Graphic and web design:
Indesign, Falsh
Testing:
Installation testing, Load testing, Automated
testing.
Unit testing:
PHPunit, NUnit
Issue management:
Testlink, Bugzilla.

9PROFESSIONAL PRACTICE IN IT
The technology stack A is better than the technology stack B. As with the implementation of
stack A My SQL will be used as the data modelling tool but for the stack B TOAD will be
used where My SQL is better than any other data base modelling tools. And for the
management and planning of the project MS project will be used where ScrumDesk is not as
good as MS project. Also the combination of the java and ASP.NET will way better than
PHP and SQL combination.
SWOT analysis:
Strength:
The technology stack A will be suitable for the implementation of the project. As it is
having so much advantages. As it will use My SQL as the data modelling tool but for the
stack B TOAD will be used where My SQL is better than any other data base modelling
tools. And for the management and planning of the project MS project will be used where
ScrumDesk is not as good as MS project.
Weakness:
The technology stack A and stack B are having some weaknesses too as the software
will be based on the internet or web. The software will also based on the cloud services. The
will be a strong probability to be hacked.
Opportunities:
The data will be stored into one system. The authority can access data any time from
there. The data will be stored automatically to the system and it will send the data
automatically to the storage. There will be no risk for loosing the data.

10PROFESSIONAL PRACTICE IN IT
Threats:
The system can have the probability to be hanged. And the data can be lost then. And
the most dangerous threat for the software is hacking.

11PROFESSIONAL PRACTICE IN IT
References:
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(2016, June). Si FinFET based 10nm technology with multi Vt gate stack for low
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Technology (pp. 1-2). IEEE.
Lv, Y., Chen, M., Cai, M., & Liu, S. (2014). A reliable Cu–Sn stack bonding technology for
3D-TSV packaging. Semiconductor Science and Technology, 29(2), 025003.
Otomo, J., Oishi, J., Mitsumori, T., Iwasaki, H., & Yamada, K. (2013). Evaluation of cost
reduction potential for 1 kW class SOFC stack production: Implications for SOFC
technology scenario. International Journal of Hydrogen Energy, 38(33), 14337-
14347.
Otomo, J., Oishi, J., Mitsumori, T., Iwasaki, H., & Yamada, K. (2013). Evaluation of cost
reduction potential for 1 kW class SOFC stack production: Implications for SOFC
technology scenario. International Journal of Hydrogen Energy, 38(33), 14337-
14347.
Ramey, S., Ashutosh, A., Auth, C., Clifford, J., Hattendorf, M., Hicks, J., ... & Wiegand, C.
(2013, April). Intrinsic transistor reliability improvements from 22nm tri-gate
technology. In 2013 IEEE international reliability physics symposium (IRPS)(pp. 4C-
5). IEEE.
Yang, S., Jeon, S. I., Kim, H., Choi, J., Yeo, J. G., Park, H. R., & Kim, D. K. (2016). Stack
design and operation for scaling up the capacity of flow-electrode capacitive
deionization technology. ACS Sustainable Chemistry & Engineering, 4(8), 4174-
4180.

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