Guiding Software Developers using Automated Adaptation of Object Ensembles Plug-in

Md. Abir Hosain; Ziaur Rahman; Md. Badrul Alam Miah; Md. Hadifur Rahman

Guiding Software Developers using Automated Adaptation of Object Ensembles Plug-in

Md. Abir Hosain * §

Contact

Ziaur Rahman

Contact

Md. Badrul Alam Miah

Contact

Md. Hadifur Rahman

Contact

Mawlana Bhashani Science and Technology University

Guiding Software Developers using Automated Adaptation of Object Ensembles Plug-in

Article Fingerprint

ReserarchID

CSTPMNI9

Guiding Software Developers using Automated Adaptation of Object Ensembles Plug-in Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant

This converted HTML version may contain rendering inconsistencies. Please refer to the PDF for the authoritative version, or click here to provide feedback.

Abstract

Software developing process has been improving day by day. The development process can be affected through different ways like changing the development environment, strategies and upcoming technologies. In order to save valuable times and to speed up the process, we can guide programmer during the development time through providing relevant recommendations. There are some strategies that suggest related code snippets and API-items to the software programmers. There are some techniques that apply general code searching approaches and some techniques that employ online based repository mining process. But it is kind of difficult tasks to guide programmers when they need specific type conversion like adapting existing interfaces from the previously used types as per their demands. One of the familiar approaches to guide developers in such a situation is to adapt collections and arrays through automated adaptation of object ensembles. But how does it help a novice developer in real time software development that is not explicitly exemplified. In this paper, we have tried to introduce a system that works as a plug-in tool incorporated with a data mining integrated environment to recommend the relevant interfaces while they look for a type conversion. We have a mined repository of respective adapter classes and related APIs from where programmers search their query and get their result using the relevant transformer classes.

References

8 Cites in Article

Reference Format

1. S Hsu,S Lin (2011). Referencias Guiding Software Developers using Automated Adaptation of Object Ensembles Plu-gin Figure 6 : Error comparison between net beans and NetBeans+plug-in 1. Expert Systems with Applications, 38(6), 7291-7730.
2. Tao Xie,Jian Pei (2006). MAPO. Proceedings of the 2006 international workshop on Mining software repositories, 54-57.
3. (2015). NetBeans plug. NetBeans plug
4. Jet Brain (2015). LAS VEGAS SANDS CORP., a Nevada corporation, Plaintiff, v. UKNOWN REGISTRANTS OF www.wn0000.com, www.wn1111.com, www.wn2222.com, www.wn3333.com, www.wn4444.com, www.wn5555.com, www.wn6666.com, www.wn7777.com, www.wn8888.com, www.wn9999.com, www.112211.com, www.4456888.com, www.4489888.com, www.001148.com, and www.2289888.com, Defendants. Gaming Law Review and Economics, 20(10), 859-868.
5. Genuitec (2015). Unknown Title.
6. Dominic Seiffert,Oliver Hummel (2015). Adapting Collections and Arrays: Another Step towards the Automated Adaptation of Object Ensembles. Lecture Notes in Computer Science, 348-363.
7. Shahnewaz (2014). A Scenerio based API recommendation system using syntax and semantics of client source code. A Scenerio based API recommendation system using syntax and semantics of client source code
8. H Kabir,Z Rahman,N Islam (2015). Enhancing software development process using automated adaptation of object. Enhancing software development process using automated adaptation of object

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Md. Abir Hosain, Ziaur Rahman, Md. Badrul Alam Miah, Md. Hadifur Rahman. 2016. "Guiding Software Developers using Automated Adaptation of Object Ensembles Plug-in". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 16 (GJCST Volume 16 Issue C2).

More Citation Formats

Select Citation Style:

Download Citation

GJCST Volume 16 Issue C2

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-C Classification D.2

D.2.1

D.2.3

Submission ReceivedDecember 10, 2015
Peer Review Double Blind
Handling Editor
Accepted January 4, 2016
Published January 15, 2016

Version of record

v1.2

Issue date

May 31, 2016

Language

English

Order Article Reprint

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 144

Country: Bangladesh

Subject: Global Journal of Computer Science and Technology

Authors: Ziaur Rahman, Md. Abir Hosain, Md. Badrul Alam Miah, Md. Hadifur Rahman (PhD/Dr. count: 0)

View Count (all-time): 461

Total Views (Real + Logic): 1994

Total Downloads (simulated): 143

Publish Date: 2016 01, Fri

Monthly Totals (Real + Logic):

Month 1: 49 views
Month 2: 62 views
Month 3: 31 views
Month 4: 32 views
Month 5: 51 views
Month 6: 50 views
Month 7: 49 views
Month 8: 41 views
Month 9: 39 views
Month 10: 18 views
Month 11: 26 views
Month 12: 16 views
Month 13: 24 views
Month 14: 30 views
Month 15: 16 views
Month 16: 44 views
Month 17: 32 views
Month 18: 36 views
Month 19: 12 views
Month 20: 34 views
Month 21: 30 views
Month 22: 49 views
Month 23: 27 views
Month 24: 38 views
Month 25: 24 views
Month 26: 44 views
Month 27: 44 views
Month 28: 20 views
Month 29: 36 views
Month 30: 42 views
Month 31: 21 views
Month 32: 36 views
Month 33: 30 views
Month 34: 24 views
Month 35: 43 views
Month 36: 37 views
Month 37: 20 views
Month 38: 30 views
Month 39: 45 views
Month 40: 29 views
Month 41: 41 views
Month 42: 25 views
Month 43: 26 views
Month 44: 38 views
Month 45: 20 views
Month 46: 22 views
Month 47: 30 views
Month 48: 31 views
Month 49: 39 views
Month 50: 18 views
Month 51: 23 views
Month 52: 24 views
Month 53: 41 views
Month 54: 30 views
Month 55: 37 views
Month 56: 26 views
Month 57: 34 views
Month 58: 31 views
Month 59: 34 views
Month 60: 20 views
Month 61: 21 views
Month 62: 28 views
Month 63: 31 views
Month 64: 20 views
Month 65: 29 views
Month 66: 46 views
Month 67: 27 views
Month 68: 33 views
Month 69: 20 views
Month 70: 19 views
Month 71: 24 views
Month 72: 41 views
Month 73: 37 views
Month 74: 22 views
Month 75: 30 views
Month 76: 32 views
Month 77: 19 views
Month 78: 32 views
Month 79: 46 views
Month 80: 27 views
Month 81: 26 views
Month 82: 36 views
Month 83: 12 views
Month 84: 21 views
Month 85: 30 views
Month 86: 36 views
Month 87: 16 views
Month 88: 44 views
Month 89: 36 views
Month 90: 19 views
Month 91: 39 views
Month 92: 41 views
Month 93: 20 views
Month 94: 32 views
Month 95: 42 views
Month 96: 49 views
Month 97: 41 views
Month 98: 34 views
Month 99: 14 views
Month 100: 32 views
Month 101: 18 views
Month 102: 26 views
Month 103: 31 views
Month 104: 32 views
Month 105: 40 views
Month 106: 23 views
Month 107: 37 views
Month 108: 33 views
Month 109: 20 views
Month 110: 25 views
Month 111: 40 views
Month 112: 41 views
Month 113: 44 views
Month 114: 33 views
Month 115: 38 views
Month 116: 18 views
Month 117: 68 views
Month 118: 36 views
Month 119: 61 views
Month 120: 27 views
Month 121: 33 views
Month 122: 34 views
Month 123: 50 views
Month 124: 23 views
Month 125: 37 views
Month 126: 49 views
Month 127: 43 views
Month 128: 55 views
Month 129: 42 views

Total Views: 2K

Total Downloads: 143

All Trends