IET Software

Papers
(The TQCC of IET Software is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
Within‐project and cross‐project just‐in‐time defect prediction based on denoising autoencoder and convolutional neural network32
Analytic Hierarchy Process Based Prioritisation and Taxonomy of Success Factors for Scaling Agile Methods in Global Software Development31
Software defect prediction via LSTM28
Toward successful agile requirements change management process in global software development: a client–vendor analysis22
A new localization method based on improved particle swarm optimization for wireless sensor networks20
Managing non‐functional requirements in agile software development20
Software development effort estimation: a systematic mapping study19
Software defect prediction using K‐PCA and various kernel‐based extreme learning machine: an empirical study19
Ontology for knowledge condensation to support expertise location in the code phase during software development process16
Requirements knowledge acquisition from online user forums16
Predicting the bug fixing time using word embedding and deep long short term memories16
An improved K‐means algorithm for big data15
Empirical studies on the impact of filter‐based ranking feature selection on security vulnerability prediction14
A compositional model for effort‐aware Just‐In‐Time defect prediction on android apps13
Usability and user experience evaluation of natural user interfaces: a systematic mapping study13
Long short‐term memory on abstract syntax tree for SQL injection detection13
The impact of feature selection techniques on effort‐aware defect prediction: An empirical study13
An empirical study on the effectiveness of data resampling approaches for cross‐project software defect prediction13
Efficient improved ant colony optimisation algorithm for dynamic software rejuvenation in web services13
Systematic review of question answering over knowledge bases12
Benefits management in software development: A systematic review of empirical studies11
Resource allocation mechanisms in cloud computing: a systematic literature review11
Literature survey of deep learning-based vulnerability analysis on source code11
Supporting the teaching of design thinking techniques for requirements elicitation through a recommendation tool10
Retracted: Scientific programming using optimized machine learning techniques for software fault prediction to improve software quality10
Modified fuzzy sentiment analysis approach based on user ranking suitable for online social networks10
Software defect prediction based on stacked sparse denoising autoencoders and enhanced extreme learning machine9
Process metrics for software defect prediction in object‐oriented programs9
Taxonomy of secure data dissemination techniques for IoT environment9
Enhanced framework for ensemble effort estimation by using recursive‐based classification8
Assessment of process capabilities in transition to a data‐driven organisation: A multidisciplinary approach8
Towards a reference process for software architecture reconstruction8
A 20‐year mapping of Bayesian belief networks in software project management8
Dynamic software updating: a systematic mapping study8
Prioritization of global software requirements' engineering barriers: An analytical hierarchy process8
Predicting co‐change probability in software applications using historical metadata8
Improving source code suggestion with code embedding and enhanced convolutional long short‐term memory8
Qualitative analysis of virtual reality adoption by tourism operators in low-density regions8
Searching relevant papers for software engineering secondary studies: Semantic Scholar coverage and identification role7
A systematic mapping study for graphical user interface testing on mobile apps7
A deep learning‐based approach for software vulnerability detection using code metrics7
Software ageing prediction using neural network with ridge6
Organisational climate assessments of Agile teams – a qualitative multiple case study6
Deep learning‐based prototyping of android GUI from hand‐drawn mockups6
Towards the implementation of requirements management specific practices (SP 1.1 and SP 1.2) for small‐ and medium‐sized software development organisations6
Classifying design‐level requirements using machine learning for a recommender of interaction design patterns6
Manifold embedded distribution adaptation for cross‐project defect prediction6
New non‐homogeneous Poisson process software reliability model based on a 3‐parameter S‐shaped function6
A synergic quantum particle swarm optimisation for constrained combinatorial test generation6
A systematic mapping study of source code representation for deep learning in software engineering6
What have we learnt from the challenges of (semi‐) automated requirements traceability? A discussion on blockchain applicability5
Empirical investigation: performance and power‐consumption based dual‐level model for exascale computing systems5
Vulcont: A recommender system based on context history ontology5
Factors influencing the requirements engineering process in offshore software development outsourcing environments5
Measuring teamwork quality in large‐scale agile organisations evaluation and integration of the aTWQ approach5
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