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A novel hybrid requirement’s prioritization approach based on critical software project factors

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Abstract

Requirements prioritization is essential for development of quality software products. Requirements prioritization helps focus on the most important requirements between the available software requirements. This process is also called preserving core vision according to customer viewpoint or managing the quality requirements. Many requirements prioritization techniques have been proposed in the Software Engineering field. However, one requirement prioritization technique can only be generalized for some software projects. This research effort aims to develop a sustainable hybrid model for requirements prioritization, utilizing critical software project factors. The prioritization technique is shortlisted from a pool of software prioritization techniques, based on these project factors and their quantized scores. The proposed model is equipped with state-of-the-art literature to provide a customized prioritization technique improving the requirements prioritization process for a specific software project. The paper also presents popular software prioritization techniques used in the software industry and an extensive comparison using a thorough empirical analysis. Finally, the quantization of the software project factors for each technique has been assessed for better understanding, and a sustainable hybrid model has been constructed. With the proposed hybrid model, requirements prioritization in software development has been controlled effectively, reducing the failure risks and increasing the overall benefit and success rate. The success of the proposed hybrid approach is verified with two software case studies attaining satisfactory results and improving the organization's productivity by incorporating pivotal software requirements on which all the stakeholders agree. Furthermore, an automated approach will be developed by implementing the proposed approach to benefit from human–machine collaboration, improving user satisfaction by incorporating end-user opinions effectively and timely.

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Data Availability

The data used to support the findings of this research study are available from the corresponding author upon request.

References

  • Achimugu P, Selamat A, Ibrahim R (2014a) A clustering based technique for large scale prioritization during requirements elicitation. In Recent Advances on Soft Computing and Data Mining: Proceedings of The First International Conference on Soft Computing and Data Mining (SCDM-2014) Universiti Tun Hussein Onn Malaysia, Johor, Malaysia June 16th–18th, 2014:623–632. Springer International Publishing.

    Chapter  Google Scholar 

  • Achimugu P, Selamat A, Ibrahim R, Mahrin MN (2014b) A systematic literature review of software requirements prioritization research. Inf Softw Technol 56:568–585

    Article  Google Scholar 

  • Ahl V (2005) An experimental comparison of five prioritization methods: investigating ease of use, accuracy and scalability. School of Engineering, Blekinge Institute of Technology Sweden,1–89

  • Ahmad A, Feng C, Khan M, Khan A, Ullah A, Nazir S, Tahir A (2020) A systematic literature review on using machine learning algorithms for software requirements identification on stack overflow. Secur Commun Netw 2020:1–19.

  • Ahmed M, Rehman S, Aslam K (2023) An NLP-based quality attributes extraction and prioritization framework in Agile-driven software development. Autom Softw Eng 30(7):1–24

    Google Scholar 

  • Ali A, Hafeez Y, Hussain S, Yang S (2020) Role of requirement prioritization technique to improve the quality of highly-configurable systems. IEEE Access 8:27549–27573

    Article  Google Scholar 

  • Amelia T, Mohamed RB (2021) A proposed requirements prioritization model based on cost-value approach with collaboration perspective. In: International conference on software engineering and computer systems and 4th international conference on computational science and information management (ICSECS-ICOCSIM),10–15

  • Amelia T, Mohamed R (2023) A review: requirements prioritization criteria within collaboration perspective. Sci Technol 31(1):161–185

    Google Scholar 

  • Avdic A, Lambrinos T (2015) Modeling and illustrating requirement prioritization in public E-service development from a value-based perspective. Electron J e-Government 13(1):3–17.

  • Ayub K, Azam F, Anwar MW, Jahan AA (2019) A novel approach for software requirement prioritization based upon non functional requirements. In: 7th international conference in software engineering research and innovation (CONISOFT), 8–15

  • Azar J, Smith RK, Cordes D (2007) Value-oriented requirements prioritization in a small development organization. IEEE software 24(1):32–37

  • Barbosa P, Pinheiro P, Silveira F (2019) Selection and prioritization of software requirements applying verbal decision analysis. Complexity 2019:1–21

  • Berander PA (2005) Requirements prioritization. Springer, Berlin, 69–94

    Google Scholar 

  • Borhan N, Zulzalil H, Sa’adah Hassan NM (2019) Requirements prioritization techniques focusing on agile software development: a systematic literature. Int J Sci Technol Res 8(11):2118–2125

    Google Scholar 

  • Chua F-F, Lim T-Y, Tajuddin B, Yanuarifiani AP (2022) Incorporating semi-automated approach for effective software requirements prioritization: A framework design. J Inform Web Eng 1(1):1–15

    Article  Google Scholar 

  • Dabbagh MA (2015) An approach for prioritizing NFRs according to their relationship with FRs. Lect Notes Softw Eng 3:1–5

    Article  Google Scholar 

  • Devadas R, Cholli N (2022) Interdependency aware Qubit and Brownboost Rank requirement learning for large scale software requirement prioritization. Int J Comput Digit Syst 1(1):625–634

    Google Scholar 

  • Greer D, Ruhe G (2004) Software release planning: an evolutionary and iterative approach. Inf Softw Technol 46:243–253

    Article  Google Scholar 

  • Gupta A, Gupta C (2022) CDBR: a semi-automated collaborative execute-before-after dependency-based requirement prioritization approach. J King Saud Univ Comput Inf Sci 34:421–432

    Google Scholar 

  • Hamad M, Elsayed A, El-Borai M, Abdelmoez W (2016) Software product requirements prioritization techniques: hardly easy. Int J Artif Intell Mechatron 4(6):198–209

    Google Scholar 

  • Hatton S (2008) Choosing the right prioritisation method. In: 19th Australian conference on software engineering (ASWEC 2008), 517–526

  • Hofmann HF, Lehner F (2001) Requirements engineering as a success factor in software projects. IEEE Softw 18:58–66

    Article  Google Scholar 

  • Hoy Z (2022) Sixteen limitations for five popular requirements prioritisation approaches. In: Emerging technologies for innovation management in the software industry 202–222, https://doi.org/10.4018/978-1-7998-9059-1.ch013

  • Hujainah F, Bakar R, Abdulgabber M, Zamli K (2018) Software requirements prioritisation: a systematic literature review on significance, stakeholders, techniques and challenges. IEEE Access 6:71497–71523

    Article  Google Scholar 

  • Ian Sommerville PS (1997) RE: a good practice guide. Wiley, New York

    MATH  Google Scholar 

  • Ibriwesh I, Ho S, Chai I, Tan C (2019) Prioritizing solutionoriented software requirements using the multiple perspective prioritization technique algorithm: an empirical investigation. Concurr Eng 27(1):8–79

    Article  Google Scholar 

  • Iqbal J, Ahmad R, Khan M, Alyahya S, Nizam Nasir S, Akhunzada A, Shoaib M (2020) Requirements engineering issues causing software development outsourcing failure. PLoS ONE 15(4):e0229785

    Article  Google Scholar 

  • Karlsson L (2006) Requirements prioritisation and retrospective analysis for release planning process improvement. Lund University, Lund

    Google Scholar 

  • Karlsson J, Ryan K (1997) A cost-value approach for prioritizing requirements. IET Softw 14:67–74

    Article  Google Scholar 

  • Karlsson L, Berander P, Regnell B, Wohlin C (2004) Requirements prioritisation: an experiment on exhaustive pair-wise comparisons versus planning game partitioning. In: 8th conference on empirical assessment in software engineering. Edinburg, UK

  • Kasauli R, Knauss E, Horkoff J, Liebel G, Neto FG (2021) Requirements engineering challenges and practices in large-scale agile system development. J Syst Softw 172:110851

    Article  Google Scholar 

  • Khalid S, Rasheed U, Munerr M, Haider W, Mehmood R, Qamar U (2023) Common problems in software requirement engineering process: an overview of Pakistani software industry. In: 2023 4th international conference on advancements in computational sciences (ICACS)

  • Khan JA, Izaz-ur-Rehman, Khan SP, Qasim I, Khan YH (2016a) Evaluation of requirement prioritization techniques with ANP. Int J Adv Comp Sci Appl 7(7):419–429

  • Khan J, Rehman I, Ali L Khan S, Khan I (2016b) Requirements prioritization using analytic network process (anp). Int J Sci Eng Res 7(11):35–41

  • Khan JA, Rehman IU, Khan YH, Rashid IJ (2016c) Comparison of requirement prioritization techniques to find best prioritization technique. Int Mod Edu Comp Sci 7(11):53–59

  • Khan JA, Liu L, Wen L, Ali R (2019a) Crowd intelligence in requirements engineering: current status and future directions. In: 25th international working conference, REFSQ. Essen 245–261

  • Khan JA, Xie Y, Liu L, Wen L (2019b) Analysis of requirements-related arguments in user forums. In: 27th international requirements engineering conference (RE) 63–74

  • Khan JA, Liu L, Wen L (2020) Requirements knowledge acquisition from online user forums. IET Softw 14(3):242–253

    Article  Google Scholar 

  • Khan JA, Liu L, Wen L, Ali R (2021) Conceptualising, extracting and analysing requirements arguments in users' forums: the CrowdRE‐Arg framework. In: 29th international requirements engineering conference workshops (REW). IEEE 87–95

  • Khan JA, Yasin A, Fatima R, Vasan D, Khan AA, Khan AW (2022) Valuating requirements arguments in the online user’s forum for requirements decision-making: the CrowdRE-VArg framework. Softw Prac Exp 52(12):2537–2573

    Article  Google Scholar 

  • Kifetew FM, Perini A, Susi A, Siena A, Muñante D, Morales-Ramirez I (2021) Automating user-feedback driven requirements prioritization. Inf Softw Technol 138:106635

    Article  Google Scholar 

  • Lawrence B, Ebert KW (2001) The top risk of requirements engineering. IEEE Softw 18:62–63

    Article  Google Scholar 

  • Marghny M, El-Hawary H, Dukhan W (2017) An effective method of systems requirement optimization based on genetic algorithms. Inf Sci Lett 6(1):15–28

    Article  Google Scholar 

  • Masood M, Azam F, Anwar A, Amjad A (2019) Defining metamodel for value-oriented requirement prioritization technique. In: Proceedings of the 2019 7th international conference on computer and communications management, 2019, 72–77

  • Mohd-Shafie M, Wan-Kadir W, Khatibsyarbini M, Isa MA (2020) Model-based test case prioritization using selective and even-spread count-based methods with scrutinized ordering criterion. PLoS ONE 15(2):e0229312

    Article  Google Scholar 

  • Nasir M, Sahibuddin S (2011) Critical success factors for software projects: a comparative study. J Sci Res Essays 6(10):2174–2186

    Article  Google Scholar 

  • Nazim M, Mohammad CW, Sadiq M (2022) Fuzzy-based methods for the selection and prioritization of software requirements: a systematic literature review. In: Proceedings of the 9th international conference on frontiers in intelligent computing: theory and applications (FICTA 2021). Singapore, 115–129

  • Nuseibeh B, Easterbrook S (2000) Requirements engineering: a roadmap. In: Proceedings of the conference on the future of software engineering, 46–50

  • Pinciroli F, Justo J, Forradellas R (2020) Systematic mapping study: on the coverage of aspect-oriented methodologies for the early phases of the software development life cycle. J King Saud University-Comp Inf Sci 34(6):2883–2896

  • Ramamohanreddy A (2019) A regression test based on the test case prioritization techniques by using the nature of bees. Int J Innov Tech Explor Eng 8:1–5. https://doi.org/10.35940/ijitee.i3059.0789s319

  • Sadiq M, Devi VS (2022) A rough-set based approach for the prioritization of software requirements. Int J Inf Technol 14:447–457

    Google Scholar 

  • Sadiq M, Shahid M, Ahmad S (2010) Adding threat during software requirements elicitation and prioritization. Int J Computer Appl 1(9):44–49.

  • Saher N, Baharom F, Romli R (2018) A review of requirement prioritization techniques in agile software development. In: Knowledge management international conference (KMICe), 25–27

  • Sapunkov A, Afanasieva T (2019) Software for automation of user requirements prioritization. In: Proceedings of the 2019 2nd international conference on geoinformatics and data analysis, 2019, 1–5

  • Silva G, Canedo E (2022) Requirements engineering challenges and techniques in building chatbots. In: Proceedings of the 14th international conference on agents and artificial intelligence (ICAART 2022) 1:180–187

  • Thakurta R (2016) A proposition of a set of design principles for requirement prioritization artifacts. J Inf Tech Manag 27(1):28–47.

  • Ullah MA, Saeed M, Dar HS (2015) Stakeholder’s influence in requirement engineering: identification and prioritization. In: 1st international multi-disciplinary conference (IMDC). Lahore, Pakistan.

  • Zhang H, Zhang M, Yue T, Ali S, Li Y (2020) Uncertainty wise requirements prioritization with search. ACM Trans Softw Eng Methodol (TOSEM) 30(1):1–54

    Article  Google Scholar 

Download references

Acknowledgements

This research is funded by Research Supporting Project Number (RSPD2023R553), King Saud University, Riyadh, Saudi Arabia.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization, HA, and JAK; methodology, SS; software, MSA; validation, KA, and MA; formal analysis, JAK; investigation, HA; resources, SS; data curation, HA; writing—original draft preparation, MSA; writing—review and editing, JAK; visualization, MSA; supervision, KA, project administration, MA and KA; funding acquisition. All authors have read and agreed to the published version of the manuscript.

Corresponding authors

Correspondence to Javed Ali Khan or Muhammad Shahid Anwar.

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Conflict of interest

The authors declare no competing interests.

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Appendix A: Demographics of respondents

Appendix A: Demographics of respondents

Sr. no.

Job title

Age

Experience (years)

Company size

1

Project Manager

40

5

Large

2

Project Manager

34

7

Large

3

Associate Vice President

39

21

Large

4

Project Director

36

11

Large

5

Senior Team Lead

39

4

Large

6

Senior Project Manager

41

6

Large

7

Program Manager

43

7

Large

8

Corresponder

35

9

Large

9

IT Consultant

37

10

Large

10

IT Consultant

40

8

Large

11

Project Director

34

14

Large

12

Client Relationship Manager

38

9

Large

13

Senior Developer

39

8

Large

14

Project Manager

36

13

Large

15

Business Analyst

39

10

Small

16

Project Consultant

41

7

Small

17

Project Coordinator

43

6

Large

18

Project Manager

40

10

Large

19

Senior Team Lead

35

4

Medium

20

Developer

40

3

Large

21

Project Manager

37

7

Small

22

Senior Developer

39

5

Medium

23

Business Analyst

38

6

Medium

24

Program Manager

36

10

Large

25

Department vice president

46

18

Large

26

Project Manager

33

5

Small

27

Developer

38

3

Medium

28

Project Manager

41

8

Large

29

Project Consultant

33

3

Medium

30

Program Manager

45

6

Large

31

Software Engineer

38

3

Medium

32

Project Leader

34

5

Large

33

Project Coordinator

32

3

Medium

34

Process Consultant

33

9

Large

35

Project Coordinator

30

6

Large

36

Assistant Manager

41

12

Large

37

Senior Team Lead

43

4

Medium

38

Business Analyst

35

6

Medium

39

Project Manager

42

7

Large

40

Project Leader

37

5

Large

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Arshad, H., Shaheen, S., Khan, J.A. et al. A novel hybrid requirement’s prioritization approach based on critical software project factors. Cogn Tech Work 25, 305–324 (2023). https://doi.org/10.1007/s10111-023-00729-3

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